Machinery facility condition monitoring method and system and abnormality diagnosis system

ABSTRACT

An abnormality diagnosis system for diagnosing a presence or absence of an abnormality of a bearing unit for a railway vehicle axle, comprises a sensing/processing portion for outputting a signal generated from the bearing unit as an electric signal, a calculating/processing portion for making an abnormality diagnosis of the bearing unit based on an output of the sensing/processing portion, a result outputting portion for outputting a decision result of the calculating/processing portion, and a controlling/processing portion for feeding back a control signal to a control system of the railway vehicle based on the decision result.

CROSS-REFERENCE TO RELATED APPLICATIONS

This is a continuation of U.S. application Ser. No. 10/526,031 filedFeb. 28, 2005, which is a national stage application filed under 35U.S.C. § 371 of PCT International Appln. No. PCT/JP03/11114 filed onAug. 29, 2003, the above-noted applications incorporated herein byreference in their entirety.

TECHNICAL FIELD

The present invention relates to a machinery facility conditionmonitoring method and system and an abnormality diagnosis system and,more particularly, a machinery facility condition monitoring method andsystem and an abnormality diagnosis system capable of monitoringconditions such as an abnormality, and so forth in a machinery facilitysuch as a railway vehicle facility, a machine tool, a windmill, areduction gear, an electric motor, or the like including at least one ofa rotating body and a sliding member such as a rolling bearing, asliding bearing, a ball screw, a linear guide, a linear ball bearing,and the like without decomposition of the machinery facility.

BACKGROUND ART

In the prior art, in order to prevent generation of the failure due tothe wear or the failure of the rotating body or the sliding member, athorough overhaul and a visual inspection are applied periodically tothe machinery facility such as the railway vehicle facility, the machinetool, the windmill, or the like. In the thorough overhaul and the visualinspection, the rotating body or the sliding member is removed from themachinery facility and decomposed after the facility is operated for apredetermined period, and then the skilled expert who handling theinspection checks a degree of the wear, the presence or absence ofdefects that are found by the inspection, in the case of the bearingunit, there are the indentation due to the capture of the foreignmatter, etc., the flaking due to the rolling contact fatigue, otherwear, and others. Also, in the case of the gear, there are the fractureor wear of the teeth, or the like. When the person who handles aninspection detects an abnormality such as unevenness, wear, and thelike, which are not found in a new rotating body or sliding member, suchperson exchanges the defective parts for the new one and then assemblesthe rotating body or the sliding member once again (see the catalog“ROLLING BEARING” (CAT. No. 1101e, page B340 to page B351) issued byNippon Seiko K.K.).

However, in the method of decomposing the overall machinery facility andinspecting the failure with the eye of the person in charge, adecomposing operation of removing the rotating body or the slidingmember from the machinery facility and a fitting operation of fittingagain the inspected rotating body or sliding member into the machineryfacility require much time and labor. Thus, such a problem existed thata substantial increase in an upkeep cost required for maintaining,managing, or the like the machinery facility is brought upon.

In particular, in the case of the windmill, most of the windmills areused in an offshore area and also the number of the installed windmillsis large. It is the existing circumstances of maintaining/managingoperations of the windmill that the person in charge of the maintenancegoes to the installation location of the windmill and then conducts theinspection of rotating parts of the windmill there. For this reason,such a problem existed that it take an enormous time and cost tomaintain/manage the windmill and thus a maintenance efficiency is poor.Also, it is possible that the inspection itself causes the defect of therotating body or the sliding member. For instance, the indentation thathas not been put before the inspection is made on the rotating body orthe sliding member when the machinery facility is reassembled after thedecomposition and the inspection, and so forth. Also, since the personin charge of the inspection must check a number of bearings with the eyewithin a limited time, there existed the problem that such a possibilitystill remains that such person fails to find the defect. In addition,since a decision level of the defect varies between individuals and thusexchange of the parts is carried out even though the defect is not foundsubstantially, the above inspection entails a useless cost.

Also, in order to overcome the disadvantages caused by such visualinspection, it is studied that the sensor for sensing the sound or thevibration generated during the rotation of the bearing is provided onthe body of the vehicle in which the bearing is used, and then theabnormality such as the wear, the failure, or the like of the bearing issensed based on the sensed signal of the sensor.

However, in the case where the sensor is fitted onto the body of thevehicle, an SN ratio of the sensed signal from the sensor is worsenedbecause the sensor is provided away from the bearing. Thus, thereexisted such a problem that it is difficult to sense/decide theabnormality with high precision.

Also, as an bearing unit in the prior art, in a bearing unit 1100 havinga sensor module shown in FIG. 50, a module hole 1103 is formed on anouter peripheral surface of an outer ring 1102 of a rolling bearing1101, and then a module 1104 into which a speed sensor, a temperaturesensor, and an acceleration sensor are installed is inserted/fixed intothe module hole 1103. Then, sensed signals generated from respectivesensors in the module 1104 are transmitted to a remote processing unitprovided in the locomotive, which pulls the freight cars and thepassenger cars in which the rolling bearings 1101 are provided, via thecommunication channel.

As to the speed, the instantaneous speed of the journal is sensed basedon the pulse generated by the rotating wheel, and then such speed andthe speed of other bearings that are operating under the same conditionsare compared with each other. Thus, the overall period history to whichthe bearing assembly is subjected is saved/recorded. As to thetemperature, such temperature and the temperature of other bearings thatare operating under the same conditions are compared with each other bya simple level detection. As to the vibration, a simple RMS measurementof an energy level is carried out over a predetermined period of time,and then such energy level and the past energy level stored in aprocessing unit are compared with each other. Thus, such energy leveland the energy level of other bearings that are operating under the sameconditions are compared with each other (see JP-T-2001-500597 (pp. 10 to16, FIG. 1)).

Also, as another configurative example of the bearing unit, in anabnormality sensing unit 1110 of the rolling bearing unit shown in FIG.51, a sensor fitting hole 1113 is formed in the lower end portion of anouter ring 1112 of a double row tapered roller bearing 1111, and then asensor unit 1117 having a rotation speed sensor 1114, a temperaturesensor 1115, and an acceleration sensor 1116 therein isinserted/supported into the sensor fitting hole 1113 (for example, seeJP-A-2002-295464 (pp. 4 to 5, FIG. 1)).

In addition, as other configurative example of the bearing unit, in asensor built-in rotation supporting member 1120 shown in FIG. 52, asensor fitting hole 1123 is formed in the lower end portion of an outerring 1122 of a double row tapered roller bearing 1121, and then a sensorunit 1126 having a rotation speed sensor 1124 and a temperature sensor1125 therein is inserted/supported into the sensor fitting hole 1123(for example, see JP-A-2002-292928 (pp. 4 to 5, FIG. 1)).

Further, as other configurative example, an abnormality sensing unit1130 of the bearing unit shown in FIG. 53 has a pickup 1132 forconverting a mechanical vibration of a bearing 1131 into an electricvibration to output, an automatic gain control amplifier 1133 foramplifying an output of the pickup 1132, and a 1 to 15 kHz bandpassfilter 1134 for removing noises generated from the driving system andother mechanical systems from the output of the amplifier 1133. Also,the unit 1130 has a root-mean-square calculator 1135 for calculating aroot mean square value of the output of the bandpass filter 1134 andsupplying the value to a gain control terminal of the automatic gaincontrol amplifier 1133, an envelope circuit 1136 for receiving an outputof the bandpass filter 1134, a root-mean-square calculator 1137 forreceiving an output of the envelope circuit 1136, and an alarm circuit1138 for receiving an output of the root-mean-square calculator 1137 andissuing an alarm by using a lamp or a contact output when such outputvalue exceeds a predetermined value (for example, see JP-A-2-205727 (pp.2 to 3, FIG. 1)).

Furthermore, as other configurative example, an abnormality diagnosissystem 1140 of the rolling bearing shown in FIG. 54 has a configurationthat includes a microphone 1142 arranged in vicinity of a rollingbearing 1141, an amplifier 1143, an electronic device 1144, a speaker1145, and a monitor 1146. The electronic device 1144 is acalculating/processing unit, and has a transducer 1147 as a convertingportion, a HDD 1148 as a recording portion, an abnormality diagnosingportion 1149 as a calculating/processing portion, and an analogconverting/outputting portion 1150 (for example, see JP-A-2000-146762(pp. 4 to 6, FIG. 1)).

Besides, as other configurative example, in an abnormality diagnosingmethod and an abnormality diagnosing system 1160 of the bearing shown inFIG. 55, an electric signal waveform that a sensor 1161 outputs isconverted into the digital file by an analog/digital converter 1162,then is sent out to a waveform processing portion 1163, and then issubjected to the enveloping process by the waveform processing portion1163 to get an envelope spectrum. Then, an inner ring flaw component, anouter ring flaw component, and a rolling element flaw component, whichare particular frequency components of the bearing constituent parts,are extracted from the envelope spectrum by the waveform processingportion 1163 in the extracting step by using predetermined equations.Then, a calculating portion 1164 executes the calculating step, adeciding portion 1165 executes the comparing step, an outputting portion1166 outputs the decided result, and a speaker 1167 and a monitor 1168inform the inspector of the result (for example, see JP-A-2001-021453(pp. 5 to 6, FIG. 1)).

However, in the configurations of the bearing unit set forth inJP-T-2001-500597 and JP-A-2002-295464, since the sensor fitting hole isprovided in the outer ring, the type of the outer rings constituting thebearing is increased such as the outer ring in which the hole is notprovided and the outer ring in which the hole is provided. As a result,there is a possibility of generating the installing error, and the like,and also a lot of man-hours are needed to manage the parts. Also, it ispossible that the outer ring with the hole hinders the sealingperformance in the bearing.

Also, in the abnormality diagnosis system set forth in JP-A-2-205727,JP-A-2000-146762, and JP-A-2001-021453, merely the measure against thevibration noise is disclosed. In the case where the bearing is used tosupport the axle of the railway vehicle, it is possible that thisdiagnosis system decides a great shock generated when the railwayvehicle passes over the rail joint as an abnormal signal. Thus, theabnormality decision may be largely affected.

Also, in order to overcome the disadvantages caused by the overhaulinspection or the visual inspection, there is proposed a monitoringsystem that includes a sensor for sensing the sound or the vibrationgenerated during the rotation of the bearing and an informationprocessing system for analyzing a sensed signal of the sensor to decidewhether or not the abnormality is generated and uses a personal computeras the information processing system (for example, see JP-A-2002-71519).

However, the personal computer used as the information processing systemin the monitoring system in the prior art has normally such aconfiguration that a motherboard and an interface for receiving anoutput of the sensor are installed into a general-purpose casing. Thus,the information processing system needs a relatively large installingspace and also has a tendency that does not endure the vibration, andthe like well.

For this reason, in order to prevent an influence of the vibration onthe bearing unit, etc., a space in which the personal computer isprovided must be secured in the position that is distant from thebearing unit, etc. to some extent. In addition, this monitoring systembecomes large in size. Therefore, in the case of the machinery facilityin which the assurance of the large installing space is difficult, sucha problem has arisen that such monitoring system is of little utility.

Also, in order to prevent a deterioration of the SN ratio of the signalsensed by the sensor, it is preferable that the sensor should beincorporated into the constituent parts itself of the bearing unit ifpossible. However, the personal computer that cannot stand up to theexternal vibration, and the like and is large in size must be separatedas far as possible away from the bearing unit, or the like as thevibration generating source. As a result, the personal computer is apartfrom the sensor at a predetermined distance or more, and thus it ispossible that the problem such as a reduction in a sensing precision dueto the influence of the external noise on the information transmissionpath between the sensor and the personal computer, or the like iscaused.

The present invention has been made in view of the above problems, andit is an object of the present invention to provide a high-precisionmachinery facility abnormality diagnosis system capable of deciding thepresence or absence of an abnormality in a state of normal use withoutdecomposition of a facility like a machinery facility such as a railwayvehicle facility, a machine tool, a windmill, or the like, whichrequires much time and labor to decompose, and thus capable of reducingmaintenance/administrative costs and being hardly affected by the noise,and the like.

DISCLOSURE OF THE INVENTION

The present invention can be attained by configurations described in thefollowing.

(1) An abnormality diagnosis system for diagnosing a presence or absenceof an abnormality of a bearing unit for a railway vehicle axle,comprising:

a sensing/processing portion for outputting a signal generated from thebearing unit as an electric signal;

a calculating/processing portion for making an abnormality diagnosis ofthe bearing unit based on an output of the sensing/processing portion;

a result outputting portion for outputting a decision result of thecalculating/processing portion; and

a controlling/processing portion for feeding back a control signal to acontrol system of the railway vehicle based on the decision result.

(2) An abnormality diagnosis system according to (1), wherein thecalculating/processing portion includes

a data accumulating/distributing portion for accumulating the electricsignal fed from the sensing/processing portion and distributing thesignal to an appropriate distributing route according to a type of theelectric signal,

an analyzing portion for calculating a predetermined physical quantityin regarding to the bearing unit based on the electric signaldistributed from the data accumulating/distributing portion,

a first data saving portion for saving bearing unit data in regarding tothe bearing unit,

a comparing/deciding portion for making the abnormality diagnosis of thebearing unit by comparing/referring an analyzed result of the analyzingportion with the bearing unit data saved in the first data savingportion,

a second data saving portion for saving the analyzed result of theanalyzing portion and a decision result of the comparing/decidingportion.

(3) An abnormality diagnosis system according to (2), wherein theanalyzing portion includes

a filtering processing portion for removing a noise component of theelectric signal fed from the calculating/processing portion orextracting a particular frequency component to output, and

a frequency analyzing portion for executing a frequency analysis of asignal output from the filtering processing portion, and

the comparing/deciding portion makes the abnormality diagnosis of thebearing unit based on a result of the frequency analysis of thefrequency analyzing portion.

(4) An abnormality diagnosis system according to (2) or (3), wherein theanalyzing portion has a temperature analyzing portion that calculates atemperature of the bearing unit based on the signal output from the dataaccumulating/distributing portion, and

the comparing/deciding portion makes the abnormality diagnosis of thebearing unit based on the temperature calculated by the temperatureanalyzing portion.

(5) An abnormality diagnosis system according to any one of (2) to (4),wherein the analyzing portion has a rotation analyzing portion thatcalculates a rotation speed of the bearing unit based on the signaloutput from the data accumulating/distributing portion, and

the comparing/deciding portion makes the abnormality diagnosis of thebearing unit based on the rotation speed calculated by the rotationanalyzing portion.

(6) An abnormality diagnosis system according to any one of (1) to (5),wherein the calculating/processing portion outputs data saved in thesecond data saving portion to the controlling/processing portion inresponse to the abnormality diagnosis result.

(7) An abnormality diagnosis system according to any one of (1) to (6),wherein the filtering processing portion extracts only a frequencycomponent of 1 kHz or less.

(8) An abnormality diagnosis system according to any one of (1) to (7),wherein a sensing element of the sensing/processing portion is arrangedon a stationary portion of the bearing unit in a loading range.

(9) An abnormality diagnosis system according to any one of (1) to (8),wherein the data accumulating/distributing portion does not output theelectric signal containing a noise component, which exceeds apredetermined level, to the analyzing portion.

(10) An abnormality diagnosis system according to any one of (1) to (9),wherein the comparing/deciding portion makes the abnormality diagnosisof the bearing unit by comparing levels of a frequency due to theabnormality and its higher harmonics with a reference value.

(11) An abnormality diagnosis system according to any one of (1) to(10), wherein the comparing/deciding portion decides that theabnormality is generated when at least one of peak values of thefrequency due to the abnormal and its higher harmonics is larger than apredetermined reference value.

(12) An abnormality diagnosis system according to any one of (1) to(11), wherein the comparing/deciding portion estimates a degree ofdamage of the bearing unit based on the peak values of the frequency dueto the abnormal and its higher harmonics.

(13) An abnormality diagnosis system according to any one of (1) to(12), wherein the comparing/deciding portion makes the abnormalitydiagnosis by comparing the levels of the frequency due to the abnormaland its higher harmonics.

(14) An abnormality diagnosis system according to any one of (1) to(13), wherein the comparing/deciding portion makes the abnormalitydiagnosis based on a square mean or a partial overall of a frequencyband containing the frequency due to the abnormal.

(15) An abnormality diagnosis system according to any one of (1) to(14), wherein the comparing/deciding portion makes the abnormalitydiagnosis by applying a cepstrum analysis to a frequency spectrum.

(16) An abnormality diagnosis system according to any one of (1) to(15), wherein the signal is transmitted between the sensing/processingportion and the calculating/processing portion and thecalculating/processing portion and the controlling/processing portionvia a cable that has waterproof, oil-resistant, dustproof,rust-preventive, and moisture-proof functions, and heat-resistant,voltage-proof, and electromagnetic noise-resistant propertiesrespectively.

(17) An abnormality diagnosis system according to any one of (1) to(15), wherein a radio communicating device is provided to thesensing/processing portion and the calculating/processing portion andthe calculating/processing portion and the controlling/processingportion respectively, and the signal is transmitted therebetween byusing the radio communicating device via radio.

(18) An abnormality diagnosis system according to any one of (1) to(15), wherein the signal is transmitted between the sensing/processingportion and the calculating/processing portion and thecalculating/processing portion and the controlling/processing portionvia the cable that has waterproof, oil-resistant, dustproof,rust-preventive, and moisture-proof functions, and heat-resistant, andelectromagnetic noise-resistant properties respectively, or the signalis transmitted therebetween by using the radio communicating device.

(19) An abnormality diagnosis system according to any one of (1) to(18), wherein the abnormality diagnosis is made in real time.

(20) An abnormality diagnosis system according to any one of (1) to(18), wherein the abnormality diagnosis is made at a time different froma vehicle traveling time, based on data accumulated in the dataaccumulating/distributing portion.

(21) An abnormality diagnosis system according to any one of (1) to(20), wherein the presence or absence of the abnormality of a bearing inthe bearing unit and an abnormality occurring location are diagnosed.

(22) An abnormality diagnosis system according to any one of (1) to(20), wherein a flat portion of a wheel is diagnosed.

(23) An abnormality diagnosis system according to any one of (1) to(20), wherein the presence or absence of the abnormality of a gear inthe bearing unit and an abnormality occurring location are diagnosed.

(24) An abnormality diagnosis system for a machinery facility having arotating body, comprising:

a sensor unit having a sensor fitted to a constituent parts of therotating body to sense a physical quantity of the rotating body in arotating operation;

a calculating/processing portion for deciding a presence or absence ofan abnormality of the rotating body by analyzing an output signal of thesensor unit and then comparing an analyzed result with predeterminedreference data; and

a controlling/processing portion for displaying the analyzed result ofthe calculating/processing portion and a decision result of thecalculating/processing portion, and controlling an operation of themachinery facility in response to the decision result.

(25) An abnormality diagnosis system according to (24), wherein thesensor unit has an output amplifying means for amplifying the outputsignal of the sensor.

(26) An abnormality diagnosis system according to (24) or (25), whereinthe sensor unit has a radio communicating means for transmitting theoutput signal to the calculating/processing portion via radio.

(27) An abnormality diagnosis system according to (26), wherein thecalculating/processing portion and the controlling/processing portionare provided to a monitoring base station that is remote from therotating body.

(28) An abnormality diagnosis system according to (27), wherein thesensor unit is fitted to a bearing of a railway vehicle, and the sensorunit diagnoses the abnormality of the bearing.

(29) A machinery facility abnormality diagnosis system for sensing apresence or absence of an abnormality of a sliding member or a rotatingbody in a machinery facility, comprising:

a sensor unit having one of plural sensing elements for sensing a signalemitted from the machinery facility; and

a calculating/processing portion for executing a calculating process todecide the presence or absence of the abnormality in the machineryfacility based on an output of the sensing element;

wherein the calculating/processing portion is composed of amicrocomputer.

(30) A machinery facility abnormality diagnosis system according to(29), wherein the sensor unit is incorporated into the sliding member orthe rotating body.

(31) A machinery facility abnormality diagnosis system according to(30), wherein the microcomputer is fitted to the sliding member or therotating body or a mechanism parts that supports the sliding member orthe rotating body.

(32) A machinery facility abnormality diagnosis system according to(29), wherein the microcomputer and the sensor unit are mounted on asingle device board, and are fitted to the sliding member or therotating body or a mechanism parts that supports the sliding member orthe rotating body as a single processing unit.

(33) A machinery facility abnormality diagnosis system according to anyone of (29) to (32), wherein the calculating/processing portion isinstalled in a single casing.

(34) A machinery facility abnormality diagnosis system according to(33), wherein the sensor unit is arranged integrally in the casing.

(35) A machinery facility abnormality diagnosis system according to anyone of (29) to (34), wherein the sensing element senses at least one oftemperature, vibration displacement, vibration speed, vibrationacceleration, force, distortion, acoustic, acoustic emission, ultrasonicwaves, and rotation speed.

(36) A machinery facility abnormality diagnosis system according to anyone of (29) to (35), wherein the calculating/processing portion includescentral processing unit, amplifier, analog/digital converter, filter,comparator, pulse counter, timer, interruption controller, ROM, RRAM,digital/analog converter, communication module, and external interface.

(37) A machinery facility abnormality diagnosis system according to anyone of (29) to (36), wherein the calculating/processing portion executesat least one process or more of calculation of feature parameters of astandard deviation and a peak factor, envelope detection, FFT,filtering, wavelet transform, short-time FFT, calculation of a featurefrequency due to a defect of the rotating body and comparison/decision.

(38) A condition monitoring method for a machinery facility having atleast one of a rotating body and a sliding member, comprising the stepsof:

analyzing a predetermined physical quantity of the machinery facilitybased on a signal generated from the machinery facility;

provisionally diagnosing a presence or absence of an abnormality of themachinery facility by comparing/allocating an analyzed result withinformation serving as references to decide whether or not theabnormality is present in the machinery facility, every first timeperiod; and

diagnosing the presence or absence of the abnormality of the machineryfacility and an abnormal location, by executing a total evaluation,which decides the abnormality when a number of times the abnormality isprovisionally diagnosed exceeds a threshold value, after acomparison/allocation is executed predetermined number of times or basedon a compared/allocated result obtained every second time period.

(39) A condition monitoring method for a machinery facility having atleast one of a rotating body and a sliding member, comprising the stepsof:

analyzing a predetermined physical quantity of the machinery facilitybased on a signal generated from the machinery facility;

provisionally diagnosing a presence or absence of an abnormality of themachinery facility by comparing/allocating an analyzed result withinformation serving as references to decide whether or not theabnormality is present in the machinery facility, every first timeperiod; and

diagnosing the presence or absence of the abnormality of the machineryfacility and an abnormal location, by executing a total evaluation,which decides a degree of the abnormality according to a number of timesthe abnormality is provisionally diagnosed, after acomparison/allocation is executed predetermined number of times or basedon a compared/allocated result obtained every second time period.

(40) A machinery facility condition monitoring method according to (38)to (39), wherein the signal is A/D-converted into a digital signal, thena process of analyzing a frequency of the digital signal is executed,and then a frequency component generated due to a damage of themachinery facility and calculated based on an operating signal of themachinery facility is compared/allocated with a frequency componentderived based on actually measured data every first time period.

(41) A machinery facility condition monitoring method according to (40),wherein the signal is subjected to an amplifying process and a filteringprocess.

(42) A machinery facility condition monitoring method according to (40)or (41), wherein at least one of the rotating body and the slidingmember of the machinery facility is any one of rolling bearing, ballscrew, linear guide, and linear ball bearing, and the operating signalof the machinery facility is either a rotation speed signal in therolling bearing and the ball screw or a moving speed signal in thelinear guide and linear ball bearing.

(43) A machinery facility condition monitoring system for a machineryfacility having at least one of a rotating body and a sliding member andusing the condition monitoring method set forth in (38) or (39),comprising:

at least one sensing/processing portion for sensing a signal generatedfrom the machinery facility;

a calculating/processing portion having a microcomputer that executes acalculating process to decide a condition of the machinery facilitybased on the signal output from the sensing/processing portion; and

a controlling/processing portion having at least one of a resultoutputting portion that outputs a decision result of thecalculating/processing portion and a controller that feeds back acontrol signal to a control system of the machinery facility based onthe decision result.

(44) A machinery facility condition monitoring system according to (43),wherein at least one of the sensing/processing portion and themicrocomputer is installed into the rotating body and the slidingmember.

(45) A machinery facility condition monitoring system according to (43)or (44), wherein at least one of the rotating body and the slidingmember is a bearing to which a radial load is applied, and thesensing/processing portion is fixed in a radial load loading range of abearing housing that is fitted onto a raceway ring of the bearing.

(46) An abnormality diagnosis system for a railway vehicle bearing unitusing the machinery facility condition monitoring system set forth inany one of (43) to (45).

(47) An abnormality diagnosis system for a windmill bearing unit usingthe machinery facility condition monitoring system set forth in any oneof (43) to (45).

(48) An abnormality diagnosis system for a machine tool spindle bearingunit using the machinery facility condition monitoring system set forthin any one of (43) to (45).

(49) A machine equipment abnormality diagnosis system comprising:

a sensing/processing portion having a sensor unit that is fixed to abolt screwed into a housing of the machine equipment and outputs asignal generated from the machine equipment as an electric signal;

a calculating/processing portion for making an abnormality diagnosis ofthe machine equipment based on an output of the sensing/processingportion; and

a controlling/processing portion for feeding back a control signal to acontrol system of the machine equipment based on a result of theabnormality diagnosis.

(50) A machine equipment abnormality diagnosis system according to (49),wherein the calculating/processing portion includes

the calculating/processing portion includes

a data accumulating/distributing portion for accumulating the electricsignal fed from the sensing/processing portion and distributing thesignal to an appropriate distributing route according to a type of theelectric signal,

an analyzing portion for calculating a predetermined physical quantityin regarding to the machine equipment based on the electric signaldistributed from the data accumulating/distributing portion,

a first data saving portion for saving machine equipment data inregarding to the machine equipment,

a comparing/deciding portion for making the abnormality diagnosis of themachine equipment by comparing the physical quantity calculated by theanalyzing portion with the machine equipment data saved in the firstdata saving portion,

a second data saving portion for saving the analyzed result of theanalyzing portion and a result of the abnormality diagnosis of thecomparing/deciding portion.

(51) A machine equipment abnormality diagnosis system according to (49)or (50), wherein the calculating/processing portion and thecontrolling/processing portion are composed of a microcomputer or an ICchip.

(52) A machine equipment abnormality diagnosis system according to anyone of (49) to (51), wherein the signal is transmitted between thesensing/processing portion and the calculating/processing portion or thecalculating/processing portion and the controlling/processing portionwithout a wire connection.

(53) A bearing unit including an inner ring having an inner ring racewaysurface, an outer ring having an outer ring raceway surface, a pluralityof rolling elements arranged relatively rotatably between the inner ringraceway surface and the outer ring raceway surface, and a retainer forholding rollably the rolling elements, whereby a bearing to which aradial load is applied is arranged in a bearing housing,

the bearing unit comprising:

an abnormality sensing means provided in a loading range of the bearinghousing, for sensing an abnormality from at least one selected from avibration sensor and a temperature sensor installed/fixed in a singlecase.

(54) A bearing unit according to (53), wherein a flat portion isprovided to a part of an outer peripheral surface of the bearing housingon a loading range side, and the abnormality sensing means is fixed tothe flat portion.

(55) A bearing unit according to (54), wherein the abnormality sensingmeans is arranged on an outer diameter portion of the bearing housing onthe loading range side in a center portion of a bearing width.

(56) A bearing unit according to (53), wherein the abnormality sensingmeans is arranged on an outer diameter portion of the bearing housing onthe loading range side in a width area of the inner ring raceway surfaceor the outer ring raceway surface.

(57) A bearing unit according to any one of (53) to (56), wherein a caseof the abnormality sensing means has a signal carrying means that sendsout a sensed signal, and a decision result outputting portion thatdecides a presence or absence of the abnormality based on the signalsent out via the signal carrying means and output a decision result.

(58) A bearing unit according to any one of (53) to (57), wherein theabnormality sensing means is embedded/fixed on a recess portion formedon the bearing housing, and then secured by molding a clearance betweenthe abnormality sensing means and the recess portion.

(59) A bearing unit according to (58), wherein the abnormality sensingmeans is fixed to the recess portion via a spacer.

(60) A bearing unit according to any one of (53) to (59), wherein afiltering processing portion for removing an unnecessary frequency bandfrom a vibration waveform from the vibration sensor, an envelopeprocessing portion for detecting an absolute value of a filteredwaveform transferred from the filtering processing portion, a frequencyanalyzing portion for analyzing a frequency of a waveform transferredfrom the envelope processing portion, a comparing/collating portion forcomparing a frequency generated due to a damage calculated based on arotation speed with a frequency derived based on actually measured data,and a result outputting portion for identifying a presence or absence ofthe abnormality and an abnormal location based on a compared result inthe comparing/collating portion are provided.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a view showing a railway vehicle abnormality diagnosis systemaccording to a first embodiment of the present invention;

FIG. 2 is a block diagram showing an internal structure of a sensorunit;

FIG. 3 is a view showing a data accumulating/distributing portion;

FIG. 4 is a table showing relational expressions indicatingrelationships between defects of respective members of a bearing andabnormal vibration frequencies generated in respective members;

FIG. 5 is a view showing a relationship between a loading range and anon-loading range in the bearing;

FIG. 6 is a view showing a time-variant waveform of an oscillatingsignal sensed from the bearing in the first embodiment;

FIG. 7 is a view showing a frequency spectrum of the vibration signalsensed from the bearing in the first embodiment;

FIG. 8 is a view showing a frequency spectrum of the vibration signalsensed from the bearing in the first embodiment after an envelopingprocess;

FIG. 9 is a flowchart showing a process flow in a first method;

FIG. 10 is a graph showing a frequency spectrum when no abnormality isgenerated;

FIG. 11 is a graph showing a frequency spectrum when the abnormality isgenerated in an outer ring;

FIG. 12 is a graph showing a relationship between the frequency spectrumand a reference value when a retainer has a flaw;

FIG. 13 is a flowchart showing a process flow in a second method;

FIG. 14 is a view explaining the second method;

FIG. 15 is a flowchart showing a process flow in a third method;

FIG. 16 is a view showing a frequency spectrum when an outer ring hasthe flaw;

FIG. 17 is a view explaining a fourth method;

FIG. 18 is a graph showing a relationship between a size of flaking anda level difference between peaks appearing on the actually measuredfrequency spectrum data and a reference level;

FIG. 19 is a flowchart showing a process flow in a fifth method;

FIG. 20 is a view showing frequency spectrum levels and a referenceline;

FIG. 21 is a flowchart showing a process flow in a sixth method;

FIG. 22 is a graph showing a frequency spectrum when the abnormality isgenerated in the outer ring;

FIG. 23 is a graph showing a frequency spectrum when no abnormality isgenerated in the outer ring;

FIG. 24 is another graph showing a frequency spectrum when theabnormality is generated in the outer ring;

FIG. 25 is another graph showing a frequency spectrum when noabnormality is generated in the outer ring;

FIG. 26 is a block diagram showing an internal configuration of a sensorunit in a railway vehicle abnormality diagnosis system according to asecond embodiment of the present invention;

FIG. 27 is a view showing the railway vehicle abnormality diagnosissystem according to the second embodiment of the present invention;

FIG. 28 is a block diagram showing a schematic configuration of arotating body abnormality diagnosis system according to a thirdembodiment of the present invention;

FIG. 29 is a block diagram showing a schematic configuration of arotating body abnormality diagnosis system according to a fourthembodiment of the present invention;

FIG. 30 is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to a fifthembodiment of the present invention;

FIG. 31 is a block diagram showing a schematic configuration of amicrocomputer shown in FIG. 30;

FIG. 32 is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to a sixthembodiment of the present invention;

FIG. 33 is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to a seventhembodiment of the present invention;

FIG. 34(a) is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to an eighthembodiment of the present invention;

FIG. 34(b) is a side view showing a bearing fitting state in FIG. 34(a);

FIG. 35(a) is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to a ninthembodiment of the present invention;

FIG. 35(b) is a side view showing a bearing fitting state in FIG. 35(a);

FIG. 36 is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to a tenthembodiment of the present invention;

FIG. 37 is a sectional view showing a machinery facility to which acondition monitoring system according to an eleventh embodiment of thepresent invention is applied;

FIG. 38 is a schematic view showing the condition monitoring systemaccording to the eleventh embodiment;

FIG. 39 is a block diagram of a calculating/processing portion in FIG.38;

FIG. 40 is a flowchart showing procedures of a diagnosis process in acondition monitoring method;

FIG. 41 is a view showing a bearing housing of a railway vehicle bearingunit serving as a machinery facility to which an abnormality diagnosissystem according to a twelfth embodiment of the present invention isapplied;

FIG. 42 is a view showing a railway vehicle abnormality diagnosis systemin the twelfth embodiment;

FIG. 43 is a view showing a variation of the abnormality diagnosissystem according to the twelfth embodiment of the present invention;

FIG. 44 is a view showing another variation of the abnormality diagnosissystem according to the twelfth embodiment of the present invention;

FIG. 45 is a schematic view showing a bearing unit according to athirteenth embodiment of the present invention;

FIG. 46 is a signal processing system diagram in an abnormality sensingmeans in the bearing unit shown in FIG. 45;

FIG. 47 is a signal processing system diagram using a method differentfrom FIG. 46;

FIG. 48 is a sectional view showing a bearing unit according to afourteenth embodiment of the present invention;

FIG. 49 is a sectional view showing a bearing unit according to afifteenth embodiment of the present invention;

FIG. 50 is a sectional view showing a bearing unit in the prior art;

FIG. 51 is a sectional view showing another bearing unit in the priorart;

FIG. 52 is a sectional view showing still another bearing unit in theprior art;

FIG. 53 is a block diagram showing another configurative example in theprior art;

FIG. 54 is a block diagram showing still another configurative examplein the prior art; and

FIG. 55 is a block diagram showing yet still another configurativeexample in the prior art.

BEST MODE FOR CARRYING OUT THE INVENTION

A machinery facility condition monitoring method and system and anabnormality diagnosis system according to the present invention will beexplained in detail with reference to the accompanying drawingshereinafter.

First Embodiment

FIG. 1 shows a railway vehicle abnormality diagnosis system according toa first embodiment of the present invention. An abnormality diagnosissystem 1 includes a sensing/processing portion 20 having sensor units 22each provided to each row of a rolling bearing 21 to output a conditionof each row as an electric signal, a calculating/processing portion 30for calculating/processing the electric signals output from the sensorunits 22 to decide the condition such as defect, abnormality, or thelike of a railway vehicle facility 10, and a controlling/processingportion 40 for controlling and outputting the decided result of thecalculating/processing portion 30.

The abnormality diagnosis system 1 senses the generation of theabnormality due to the wear or the failure of a plurality of rollingbearings 21 in the bearing unit that bears the axle of the railwayvehicle. Each rolling bearing 21 has an outer ring 23 as a stationaryportion that is fitted into the vehicle body side, an inner ring 24fitted onto the axle and rotated together with the axle, and rollingelements 25 such as balls, rollers, or the like held between an outerring raceway formed on the inner peripheral surface side of the outerring 23 and an inner ring raceway formed on the peripheral surface sideof the inner ring 24 by a retainer (not shown) and arranged rollablybetween both raceways. Also, the sensor unit is secured to the outerring 23 of each rolling bearing 21. In FIG. 1, the sensing/processingportion 20 is constructed by sensing portions 20 a, 20 b, 20 c eachconsisting of the sensor unit 22 secured to each rolling bearing 21.

The sensor unit 22 has sensors as a plurality of sensing elements thatsense various information generated from the machinery facility duringthe running, e.g., sound J1, temperature J2, vibration (vibrationdisplacement, vibration speed, vibration acceleration) J3, rotationspeed J4, distortion J5 generated on the outer ring of the bearing, AE(acoustic emission), moving speed, force, ultrasonic wave, etc., asphysical quantities that are changed in response to a rotating conditionof the bearing 21. Each sensor outputs the sensed physical quantity tothe calculating/processing portion 30 as the electric signal.

Here, since the calculating/processing portion 30 can distribute/processappropriately the electric signals every sensed information, respectivesensing elements are arranged independently in different locationsrespectively. Thus, a plurality of sensing elements for sensingindependently the particular signals such as sound, temperature,vibration, rotation speed, distortion, AE, moving speed, force,ultrasonic wave, and others may be employed in combination. Alternately,a composite sensor unit constructed by installing a plurality of sensingelements into an inside of a housing to sense simultaneously pluraltypes of signals may be employed as the sensor unit 22, in place ofindependent arrangement of a plurality of sensing elements. Also, amultidirectional simultaneous vibration sensor for sensing the vibrationin the multiple directions by one sensor may be employed as thevibration sensor.

In addition, in order to execute the sensing at a high SN ratio, thesignal can be sensed with good sensitivity by fitting the sensor unit22, especially a vibration sensing element 22 d (see FIG. 2(a)), to aportion to which a load is applied (loading range) and thus thehigher-precision measurement can be attained. Where the “loading range”denotes an area in which the load is applied to the rolling elements, asshown in FIG. 5. In the case where the sensor unit is fitted inevitablyto a non-loading range when the space used to fit the sensor is absentin the loading range, a high-tension cable that generates noises isprovided to the loading range, or the like, the measurement can becarried out by enhancing a signal sensing sensitivity by virtue of afiltering process executed by a filtering processing portion 34described later, or the like.

In the present embodiment, as shown in FIG. 2(a), the sensor unit 22 hassuch a structure that various sensing elements 22 b, 22 c, and 22 d areinstalled into a unit case 22 a. Then, explanation will be madehereunder under the assumption that the temperature sensing element 22 bfor sensing the temperature of the bearing 21, the rotation sensingelement 22 c for sensing the rotation speed of the inner ring (axle) ofthe bearing 21, and the vibration sensing element 22 d for sensing thevibration generated in the bearing 21 are provided in the unit case 22a.

Respective sensing elements 22 b to 22 c amplify the electric signalscorresponding to the sensed vibration, temperature, and rotation speedvia an amplifier 50 as an output amplifying means, and then output thesignals to the calculating/processing portion 30. The amplifier 50 maybe provided in the unit case 22 a of the sensor respectively as shown inFIG. 2(b), or the amplifier 50 may be provided between the sensor unit22 and the calculating/processing portion 30 respectively as shown inFIG. 1, or the amplifier 50 may be provided to an interior of thecalculating/processing portion 30. It is preferable that amplifiers 22e, 22 f, and 22 g should be provided to the sensing elements 22 b, 22 c,and 22 d in the unit case 22 a respectively. There is such a possibilitythat the noise is superposed on the signal during when the signal outputfrom the sensor unit 22 is being transmitted to thecalculating/processing portion 30 via the cable, and thus thereliability of measurement is lowered. In this event, if a signal levelis amplified in advance via the amplifier 50, the signal is hard toaccept the influence of the noise and thus the reliability can beimproved.

The signal is transmitted between the sensor unit 22 and thecalculating/processing portion 30 via the cable. In order to improve ameasuring precision such as reduction of noise, etc., it is preferablethat the cable should have waterproof, oil-resistant, dustproof,rust-preventive, moisture-proof, heat-resistant, and electromagneticnoise-resistant properties. Similarly, in order to improve a measuringprecision such as reduction of noise, etc., it is preferable thatrespective sensing elements 22 b to 22 d in the sensor unit 22 shouldhave waterproof, oil-resistant, dustproof, rust-preventive,moisture-proof, heat-resistant, and electromagnetic noise-resistantproperties. For example, if all sensing elements are incorporated intothe sensor unit and then the waterproof, oil-resistant, dustproof,rust-preventive, moisture-proof, heat-resistant, and electromagneticnoise-resistant properties are provided to the unit case 22 a of thesensor unit 22, these properties can be embodied.

The calculating/processing portion 30 is a unit that executes thecalculating process of the electric signals as the outputs that arereceived from respective sensing elements (the temperature sensingelement 22 b, the rotation sensing element 22 c, and the vibrationsensing element 22 d in the present embodiment) in the sensor unit 22,and then identifies the presence or absence of the abnormality of thebearing and an abnormality occurring location by comparing the analyzedresult analyzed by the calculating process and the reference data. Here,the reference data denote reference values of various physicalquantities that are sensed by respective sensing elements in the normalcondition of the bearing 21 serving as the diagnosed object. Moreparticularly, the reference data contain the information about afrequency component generated by the wear or the failure of theparticular portion of the bearing 21, and the like, in addition to theinformation of the normal bearing 21 about sound, temperature,vibration, rotation speed, distortion, AE, moving speed, force,ultrasonic wave, and the like.

For instance, the calculating/processing portion 30 may be constructedby using the personal computer or the general-purpose computer intowhich the existing operating system and the software applications usedto execute the abnormality diagnosis. Otherwise, thecalculating/processing portion 30 may be constructed as an arithmeticunit that are composed of processing and saving circuits providedindependently to respective portions.

The calculating/processing portion 30 includes a dataaccumulating/distributing portion 31, a temperature analyzing portion32, a rotation analyzing portion 33, the filtering processing portion34, a vibration analyzing portion 35, a comparing/deciding portion 36,an internal data saving portion 37 serving as a first data savingportion, a data accumulating/outputting portion 38 serving as a seconddata saving portion. Then, configurations and functions of respectiveportions of the calculating/processing portion 30 will be explained indetail hereunder.

FIG. 3 is a view showing the data accumulating/distributing portion 31serving as a first data accumulating portion. The dataaccumulating/distributing portion 31 has a data accumulating portion 31a, a sampling portion 31 c, and a sampling reference setting portion 31b. The data accumulating portion 31 a is a data saving medium that savethe output signals from the sensing elements 22 b to 22 d every signal,and can be constructed by various memories, the hard disk, and the like.

The data accumulating portion 31 a receives the signals sent out fromthe sensing elements 22 b to 22 d, and then stores temporarily suchsignals and also allocates such signals to any of the analyzing portions32, 33, 34 in response to the type of signal. Various signals areA/D-converted into digital signals by an A/D converter (not shown) atthe preceding stage to the data accumulating/distributing portion 31. Inthis event, the A/D conversion and the amplification may be applied inreverse order.

The sampling reference setting portion 31 b sets the reference valuesthat are used to exclude areas, in which the influence of the noiseappears largely, from the analog signal being output from the vibrationsensing element 22 d, based on the information derived from an externalinputting portion 100. Here, the inputting portion 100 is an inputtingmeans such as a mouse, a keyboard, or the like, and the user can setarbitrarily the reference values via the inputting portion 100.

The sampling portion 31 c cuts out vibration, temperature, and rotationspeed data serving as the time-variant data into a predetermined lengthdata, and then executes the sampling to output the signal to theanalyzing portions in the subsequent stage. When the output signal fromthe vibration sensing element 22 d contains the larger noise than thereference value being set by the sampling reference setting portion 31b, the sampling portion 31 c does not execute the sampling of the signalin a period of time containing such noise not to output the signal tothe filtering processing portion 34. More particularly, the samplingportion 31 c detects two points A and B at which the signal levelexceeds a certain predetermined value, and then controls not to outputthe data to the filtering processing portion 34 and the vibrationanalyzing portion 35 in a time interval A to B. Accordingly, it ispossible not to execute the frequency analysis within the time intervalthat contains the data on which the large noise is superposed, so that apossibility of executing the false abnormality diagnosis can be reduced.In this case, the sampling reference setting portion 31 b and thesampling portion 31 c are not always provided. Also, if the similareffect can be achieved, these portions may be arranged in anotherlocation, e.g., the preceding stage of the data accumulating portion 31a, or the like.

The temperature analyzing portion 32 calculates the temperature of thebearing based on the output signal fed from the temperature sensingelement 22 b, and then sends out the calculated temperature to thecomparing/deciding portion 36. The temperature analyzing portion 32 hasa temperature transformation table responding to characteristics of thesensing elements, for example, and calculates the temperature data basedon a level of the sensed signal.

The rotation analyzing portion 33 calculates the rotation speed of theinner ring 24, i.e., the axle based on the output signal fed from therotation sensing element 22 c, and then sends out the calculatedrotation speed to the comparing/deciding portion 36. For example, whenthe rotation sensing element 22 c is composed of an encoder fitted tothe inner ring 24, a magnet fitted to the outer ring 23, and a magnetismsensing element, a signal output from the rotation sensing element 22 cis given as a pulse signal that responds to a shape of the encoder andthe rotation speed. The rotation analyzing portion 33 contains apredetermined transformation function or transformation table inresponse to the shape of the encoder, and calculates the rotation speedof the inner ring 24 and the axle from the pulse signal based on thefunction or the table.

The vibration analyzing portion 35 executes the frequency analysis ofthe vibration generated in the bearing 21 based on the output signalfrom the vibration sensing element 22 d. More specifically, thevibration analyzing portion 35 is composed of an FFT computing portionthat calculates the frequency spectrum of the vibration signal andcalculates the frequency spectrum of the vibration in compliance withthe FFT algorithm. The calculated frequency spectrum is fed to thecomparing/deciding portion 36. Also, the vibration analyzing portion 35may be constructed to execute the enveloping process as thepreprocessing prior to the FFT to calculate the envelope of thevibration signal and thus attain a reduction of the noise. The vibrationanalyzing portion 35 also outputs the envelope data obtained after theenveloping process to the comparing/deciding portion 36, as the case maybe.

Normally the abnormal frequency bands of the vibration caused due to therotation of the bearing are decided depending upon a size of thebearing, the number of rolling elements, etc. Respective relationshipsbetween the defect of respective members of the bearing and the abnormalvibration frequencies generated in respective members are given as shownin FIG. 4. In the frequency analysis, the maximum frequency that permitsthe Fourier transform (Nyquist frequency) is decided in response to asampling time, and thus preferably the frequency that is in excess ofthe Nyquist frequency should not be contained in the vibration signal.Therefore, the present embodiment is constructed such that the filteringprocessing portion 34 is provided between the dataaccumulating/distributing portion 31 and the vibration analyzing portion35, a predetermined frequency band is cut out from the vibration signalby the filtering processing portion 34, and the vibration signalcontaining only the cut-out frequency band is sent out to the vibrationanalyzing portion 35. When the axle is being rotated at a low speed inthe railway vehicle, only the frequency component of 1 kHz or less, forexample, may be extracted.

Also, the filtering processing portion 34 may be arranged in such amanner that the portion first causes the vibration analyzing portion 35to calculate the frequency spectrum without the filtering process, thenestimates previously the frequency band in which the peak will beobserved, and then executes the filtering process in answer to thefrequency band to execute newly the frequency analysis. With thisarrangement, the unnecessary noise can be eliminated effectively andthus the high-precision frequency analysis can be executed.

FIG. 6 is a view showing a time-variant waveform of an oscillatingsignal as the vibration information J3 in regarding to the vibration ofthe rolling bearing 21 sensed by the sensor unit 22 in the presentembodiment, FIG. 7 shows the frequency spectrum of the vibration signalsensed by the vibration analyzing portion 35 in the present embodiment,and FIG. 8 shows the frequency spectrum of the vibration signal sensedby the vibration analyzing portion 35 in the present embodiment afterthe enveloping process.

In this manner, the vibration analyzing portion 35 applies the frequencyanalysis to the vibration signal and calculates the frequency spectrumshown in FIG. 7 or FIG. 8. The strong spectrum is observed at apredetermined frequency period from FIG. 8. It is understood from therelational expression given in FIG. 4 that this corresponds to afrequency component generated due to the damage of the outer ring 23 ofthe rolling bearing 21.

In FIG. 3, the temperature analyzing portion 32, the rotation analyzingportion 33, and the vibration analyzing portion 35 are illustrated. Butrespective analyzing portions may be provided in response to theinformation that are sensed by respective sensing elements in the sensorunit 22.

The comparing/deciding portion 36 compares the frequency spectrum of thevibration sensed by the vibration analyzing portion 35 with thereference value saved in the internal data saving portion 37 or thereference value calculated from the frequency spectrum to decide whetheror not the abnormal vibration is being generated. Where the referencevalues are the data of the frequency components generated due to thewear or the failure of the particular location of the bearing orpredetermined values contained in the spectrum calculated everyfrequency spectrum. In order to expect an accuracy of the decision, thecomparing/deciding portion 36 refers to the analyzed result of thetemperature and the rotation speed obtained by the temperature analyzingportion 32 and the rotation analyzing portion 33 and specification dataof various data of the bearing accumulated in the internal data savingportion 37, etc., simultaneously with the decision based on thecomparison between the frequency components.

More particularly, if it is decided based on the frequency spectrum ofthe vibration that the abnormality occurs, the comparing/decidingportion 36 checks the temperature of the bearing and then decides thatthe serious abnormality is being generated if the temperature exceeds apredetermined value. Also, if only any one indicates the abnormality,the comparing/deciding portion 36 decides that any abnormality occurs.Then, if both results are normal, the comparing/deciding portion 36decides that no abnormality occurs. If only any one indicates theabnormality, it may be decided that the abnormality occurs when theresults are not varied after the decision is made in plural number oftimes. The comparing/deciding portion 36 outputs the result of theabnormality diagnosis to the data accumulating/outputting portion 38.

As the particular abnormality diagnosis process executed by thecomparing/deciding portion 36 based on the vibration information,following methods will be listed.

(1) Method of Using Root-Means-Square Values of the Envelope Data as theReference Value

The present method calculates the frequency components generated at thetime of abnormality based on the expressions in FIG. 4. Then, theroot-means-square values of the envelope data are calculated and thenthe reference values used in the comparison are calculated from theroot-means-square values. Then, the frequencies that are in excess ofthe reference values are calculated and then compared with the frequencycomponents generated at the time of abnormality. Then, explanation willbe made with reference to FIG. 9 hereunder.

First, the vibration of the bearing is sensed by the vibration sensingelement 22 d installed in the sensor unit case 22 a (step S101). Thesensed signal is amplified by a predetermined amplification factor andthen converted into the digital signal by an A/D converter (step S102).The vibration signal converted into the digital signal is saved in thedata accumulating/distributing portion 31 in a predetermined format(step S103).

Then, the frequency spectrum of the digital signal is calculated (stepS104). Then, the filtering processing portion 34 selects a filterbandwidth that is applied to the digital signal, based on the calculatedfrequency spectrum (step S105). Then, the filtering processing portion34 executes the filtering process to remove the frequency componentsother than the selected filter band (step S106), and then outputs thedigital signal after the filtering process to the vibration analyzingportion 35. Then, the vibration analyzing portion 35 applies theenveloping process to the digital signal after the filtering process(step S107). Then, the frequency spectrum of the digital signal afterthe enveloping process is calculated (step S108).

At the same time, the root-means-square value of the digital signalafter the enveloping process is calculated (step S109). Then, thereference value used in the abnormality diagnosis is calculated based onthe root-means-square value (step S112). Where the root-means-squarevalue is calculated as a square root of a square mean of the frequencyspectrum after the enveloping process. The reference value is calculatedas follows based on the root-means-square value in accordance with anEquation (1) or (2).(Reference value)=(Root-means-square value)+α  (1)(Reference value)=(Root-means-square value)×β  (2)

α, β: predetermined value variable according to the type of data Then,frequencies generated due to the abnormality of the bearing arecalculated based on a table shown in FIG. 4 (step S110). Then, levels ofabnormal frequency components of respective members corresponding to thecalculated frequencies, i.e., an inner ring flaw component Si (Zfi), anouter ring flaw component So (Zfc), a rolling element flaw component Sb(2 fb), and a retainer flaw component Sc (fc) are extracted (step S111).Then, respective components Si, So, Sb, Sc are compared with thereference value calculated in step S112 (step S113). Then, if allcomponent values are smaller than the reference value, it is decidedthat no abnormality is generated in the bearing (step S114). Incontrast, if any component exceeds the reference value, it is decidedthat the abnormality is generated in the concerned location (step S115).

FIG. 10 is a graph showing the frequency spectrum when no abnormality isgenerated, and FIG. 11 is a graph showing the frequency spectrum whenthe abnormality is generated in the outer ring. In an example in FIG.10, the reference value was derived as −29.3 dB from the envelope data.If the inner ring flaw component Si(Zfi), the outer ring flaw componentSo (Zfc), the rolling element flaw component Sb (2 fb), and the retainerflaw component Sc (fc) are compared with a line of the reference valuedepicted in FIG. 10, the levels of all components are smaller than thereference value. As a result, it is decided that this bearing is normal.In contrast, in the case in FIG. 11, since the outer ring flaw componentSo (Zfc) is protruded largely from the reference value, it can bedecided that the abnormality is generated in the outer ring of thebearing.

Also, FIG. 12 is a graph showing a relationship between the frequencyspectrum and the reference value when the retainer has the flaw. In FIG.12, a peak that is larger than the reference value is observed at afrequency fc corresponding to the flaw of the retainer. In this manner,since the presence or the absence of the peak of the generated frequencycan be decided by the comparison between levels in the frequencies dueto the bearing and the reference value, even a small peak shown in FIG.12 can be diagnosed appropriately.

Here, the root-mean-square value is employed, but either a mean valuesuch as the running means, or the like or a peak factor (=peaklevel/mean value) may be employed.

(2) Method of Calculating a Peak of the Spectrum and then Comparing aPeak Frequency and an Abnormal Frequency

The present method calculates the frequency components generated at thetime of abnormality based on the expressions in FIG. 4. Then, it iscollated whether or not the peaks, which exceed a predeterminedoccurring number of times or exceeds the reference value, among thefrequency spectrum calculated by the comparing/deciding portion 36correspond to the frequency components at which the abnormality occurs.Then, explanation will be made in detail with reference to a flowchartshown in FIG. 13 hereunder.

Since the process flows up to step S108 are similar to those set forthin the method (1), their explanation will be omitted herein. In thepresent method, first the peak value of the resultant frequency spectrumis calculated (step S201). Here, in order to derive the peak of thefrequency, at first difference data indicating a difference between alevel of a data point in each frequency component and a level of apreceding data point in each frequency component is calculated. Then, aninflection point at which a sign of the difference data is changed fromplus to minus is found out, and then it is decided that the peak valueappears at the frequency values in regarding to the difference data thatgive positive/negative criterions. In this case, only the frequencyspectrum a ridge (inclination) of which shows a steep and sharp peak isselected as the object of the peak values that are necessary for thediagnosis. For this reason, only when a gradient is larger or smallerthan a predetermined reference value (e.g., 1 or −1), it is decided thatthe frequency spectrum gives the peak.

FIG. 14 is a view showing the frequency spectrum. In FIG. 14, a point Bout of three successive points A (X₀,Y₀), B (X₁,Y₁), C (X₂,Y₂) gives thepeak. In this case, since difference data δ₁ between A and B is given asδ₁=Y₁−Y₀>0 and the difference data δ₂ between B and C is given asδ₂=Y₂−Y₁<0, the difference data is changed from positive to negative.Then, if a gradient (Y₁−Y₀)/(X₁−X₀)>1 or a gradient (Y₂−Y₁)/(X₂−X₁)<−1is satisfied here, it is decided that the point B gives the peak.

Then, the abnormal frequency is calculated from the specification of thebearing based on FIG. 4 (step S202). Then, the levels of the abnormalfrequency components of respective members corresponding to thecalculated frequency, i.e., the inner ring flaw component Si (Zfi), theouter ring flaw component So (Zfc), the rolling element flaw componentSb (2 fb), and the retainer flaw component Sc (fc) are extracted (stepS203). Then, it is decided by comparing the peak frequency with thefrequencies generated at the time of abnormality whether or not the peakfrequency agrees with the calculated abnormal frequency (step S204).Then, if a certain peak corresponds to the abnormal frequency, it isdecided that the abnormality is generated in the member that correspondsto the concerned abnormal frequency (step S206). In contrast, if thepeak corresponds to no frequency, it is decided that no abnormality isgenerated (step S205).

(3) Method of Using a Fundamental Frequency and a Particular Harmonic

The present method compares peak frequencies of a primary value as afundamental frequency of the abnormal frequency component, a secondaryvalue having a twice frequency of the fundamental frequency, and aquaternary value having a quadruple frequency of the fundamentalfrequency with the frequencies generated at the time of abnormalityrespectively, and then decides finally that the abnormality is generatedif it is decided that the abnormality is generated at least twofrequencies, or decides that no abnormality is generated if thefrequency at which it is decided that the abnormality is generated isone or less. Then, explanation will be made in detail with reference toFIG. 15 hereunder.

The process flow required until the frequency spectrum is calculated andthe frequencies generated due to the abnormality are calculated issimilar to the process flow in the method (1). In the present method, asshown in FIG. 15, first it is decided in the comparison whether or notthe spectrum value exceeds the reference value at the frequency of thefundamental component (primary component) generated at the time ofabnormality (step S301). If the spectrum value exceeds the referencevalue, it is decided that the primary components coincide with eachother. Then, the process goes to step S302. In contrast, if the primarycomponents do not coincide with each other, the process goes to stepS311.

In step S302, it is decided whether or not the spectrum value exceedsthe reference value at the frequency of the secondary component that hasthe twice frequency of the fundamental component generated at the timeof abnormality. If the spectrum value exceeds the reference value, it isdecided that the secondary components coincide with each other. Then, instep S322, it is decided finally that the abnormality is generated inthe concerned location. In contrast, in S302, if the secondarycomponents do not coincide with each other, the process goes to stepS312.

Also, in step S311, it is decided whether or not the spectrum valueexceeds the reference value at the frequency of the secondary componentthat has the twice frequency of the fundamental component generated atthe time of abnormality. If the spectrum value exceeds the referencevalue, it is decided that the secondary components coincide with eachother. Then, the process goes to step S312. In contrast, if thesecondary components do not coincide with each other, the process goesto step S321, wherein it is decided finally that the abnormality is notgenerated in the concerned location.

In step S312, it is decided whether or not the spectrum value exceedsthe reference value at the frequency of the quaternary component thathas the quadruple frequency of the fundamental component generated atthe time of abnormality. If the spectrum value exceeds the referencevalue, it is decided that the quaternary components coincide with eachother. Then, in step S322, it is decided finally that the abnormality isgenerated in the concerned location. In contrast, if the quaternarycomponents do not coincide with each other, it is decided finally thatthe abnormality is not generated in the concerned location.

FIG. 16 is a view showing the frequency spectrum when the outer ring hasthe flaw. It is understood that harmonics that are the natural-numbermultiple of Zfc as the fundamental frequency are observed. It isappreciated that, if the reference value is −10 dB in this case, thespectrum value exceeds the reference value at all the primary,secondary, and quaternary components. Therefore, according to theprocess in the present method, it is decided that the abnormality isgenerated in the outer ring.

Normally, such a situation may be considered that a large peak generatedaccidentally due to the influence of the noise, or the like is observedat the frequencies corresponding to the abnormality. According to theprocess in the present method, if the peak value does not exceed thereference value at least two frequencies out of the primary, secondary,and quaternary components, it is not decided that the abnormality isgenerated. Thus, it is possible to reduce a possibility of misjudgment.

In the flowchart shown in FIG. 15, the comparison is made in order ofthe primary, secondary, and quaternary components. But the comparison ismade in order of the larger peak level. In this case, if the largestpeak is smaller than the reference value, it can be decided at that timethat no abnormality is generated, and thus a calculation time can beshortened. Also, a combination of the primary value, the secondaryvalue, and the tertiary value or a combination of the secondary value,the quaternary value, and the sexenary value may be used as thecombination of frequency components.

(4) Method Conducting an Abnormality Diagnosis and Estimating a Degreeof the Damage

In the methods (1) to (3), the presence or absence of the abnormality isdiagnosed. But a size of the damage can be estimated as follows. FIG. 17is a view showing the frequency spectrum after the enveloping process.In FIG. 17, the large peak is observed at the frequency Zfc, and thus itis understood that the damage is generated in the outer ring. A size ofthe damage generated in the outer ring in which the abnormality occurscan be estimated by comparing a peak value Ln at this Zfc and areference level L₀ as a mean value of the overall frequency spectrum.

FIG. 18 shows a relationship between a size of flaking and a leveldifference between peaks appearing on the actually measured frequencyspectrum data d1 and the reference level when the flaking as the damageof the raceway ring is generated in the rolling bearing. In this manner,normally the level difference is increased in proportion to a size ofthe damage. Therefore, conversely the size of the damage can beestimated if the level difference between the peak on the actuallymeasured frequency spectrum data d1 and the reference level is sensed.In this event, an increase of the peak level on the actually measuredfrequency spectrum data d1 becomes most conspicuous at the peak thatcorresponds to the primary value of the frequency components. Therefore,when the abnormality is sensed, an extent of the damage can be estimatedby calculating a level difference I between a primary value Ln of theharmonic components and a reference level L₀. Thus, an exchange timingof the damaged parts can be decided in response to the extent of thedamage. As a result, exchange of the parts can be carried out at anappropriate timing without the excessive exchange of parts ormaintenance, and thus an upkeep cost can be reduced.

(5) Method of Using a Level Difference of a Natural-Number MultipleHarmonic Component of the Fundamental Frequency as a Reference Value

The present method counts the number of times 2, 3, 4, . . . , n-degreelevels having 2, 3, 4, . . . , n-tuple frequencies of the fundamentalfrequency respectively exceed the reference value of the primary levelas the fundamental frequency of the abnormal frequency components, andthen decides that the abnormality is generated when these 2, 3, 4, . . ., n-degree levels exceed the reference value in a predetermined numberor more. More particularly, the counting is carried out when then-degree value is {(primary level)−(n−1−)·a} (dB) or more with respectto the primary level. Where a is an arbitrary value. Then, explanationwill be made with reference to a flowchart shown in FIG. 19 hereunder.

FIG. 19 is a flowchart showing a process flow in the present method. Inthe present method, the processes required until the frequency spectrumis calculated are identical to the processes in step S101 to step S108in the flowchart in FIG. 9. The processes in step S108 et seq. are shownin FIG. 19.

First, the abnormal frequency due to the abnormality in the bearing iscalculated every part (outer ring, inner ring, rolling element, orretainer) of the bearing by referring to the expressions (step S401).Then, the level of the frequency spectrum corresponding to the abnormalfrequency is extracted (step S402). Then, levels of the frequencyspectra that correspond to the natural-number multiple (2, 3, . . . ,n-tuple) frequencies of the abnormal frequency are extractedrespectively (step S403). Here, assume that secondary, tertiary,quaternary, and quinary components having twice, thrice, quadruple, andquintuple frequencies of the abnormal frequency as the base areextracted.

Then, the levels of the secondary, tertiary, quaternary, and quinarycomponents are checked on the basis of the primary component as the base(step S404). Here, if the levels of respective components exceed{(primary level)−3(n−1)} (dB), the count indicating that the abnormalityis generated is executed. More particularly, the count indicating thatthe abnormality is generated is executed in respective components infollowing cases.

-   -   (level of the secondary component)>(level of the primary        component)−3    -   (level of the tertiary component)>(level of the primary        component)−6    -   (level of the quaternary component)>(level of the primary        component)−9    -   (level of the quinary component)>(level of the primary        component)−12

Then, the final abnormality decision is made by checking whether or notthe count number of times indicating that the abnormality is presentexceeds the predetermined number of times (step S405). Here, it isdecided finally that the abnormality is generated step S406 if the countnumber of times indicating that the abnormality is present exceeds twotimes, while it is decided finally that no abnormality is generated stepS407 if the count number of times is once or less.

FIG. 20 is a view showing a relationship between a level of thefrequency spectrum and a reference line when the inner ring of thecylindrical roller bearing (outer diameter 215 mm, inner diameter 100mm, width 47 mm, and number of roller 14) is rotated at about 300 min⁻¹.In FIG. 20, a straight line is a criterion line obtained by connectingthe above reference values by a line. In the case where the bearing hasthe flaw, the values of the secondary components or more are in excessof the criterion line, but the peak level of the secondary andquaternary compositions, which correspond to the roller missing soundalso generated in the normal condition, fall below this criterion line.Since normally the higher order components of the roller missing sound(rolling element missing sound) are low rather than the case where theouter ring has the flaw, most of the sound values fall below thiscriterion line, as shown in FIG. 20. As a result, even when the peaks ofthe roller missing sound, or the like appear at the same frequencies asthe case where the outer ring has the defect, it is possible to decidewhether or not the bearing is abnormal or normal, with good precision bycomparing the levels of the higher order components mutually.

(6) Method of Using a Square Mean or a Partial Overall of a Level EveryFrequency Band

The present method executes the abnormality diagnosis by using not thepeak level value itself of the frequency caused due to the abnormalitybut a square mean or a partial overall of the level of the frequencyband containing the frequency caused due to the abnormality. Here, thesquare mean Vi and the partial overall Si are given by followingequations. Where V_(RMS) and S_(OA) are the square mean and the partialoverall in the full frequency band respectively. The overall denotes atotal sum in the particular specified interval. $\begin{matrix}{{< {{Formula}\quad 1} > {Vi}} = {\frac{1}{m}{\sum\limits_{k = 1}^{m}\left( {P_{k} - {\overset{\_}{P}}_{m}} \right)^{2}}}} & (1) \\{{Si} = {\sum\limits_{k = 1}^{m}P_{k}}} & (2) \\{V_{RMS} = {\frac{1}{N}{\sum\limits_{i = 1}^{N}\left( {P_{i} - \overset{\_}{P}} \right)^{2}}}} & (3) \\{{S_{OA} = {\sum\limits_{i = 1}^{N}P_{i}}}{where}} & (4) \\{{{N \cdot \Delta}\quad f} < \frac{f_{s}}{2}} & (5)\end{matrix}$

m: cut-out frequency bandwidth (number of data)

/Pm: spectrum mean value in the interval m

Pi: spectrum value at the frequency i

/P: spectrum mean value in the interval N

fs: sampling frequency

Δf: width of neighboring frequencies (frequency resolution)

FIG. 21 is a flowchart showing a process flow in the present method. Inthe present method, the processes required until the frequency spectrumis calculated are identical to the processes in step S101 to step S108in the flowchart in FIG. 9. The processes in step S108 et seq. are shownin FIG. 21.

First, the abnormal frequency caused due to the abnormality in thebearing is calculated by referring to the expressions shown in FIG. 4every part (outer ring, inner ring, rolling element, or retainer) of thebearing (step S501). Then, the square mean (Vi) or the partial overall(Si) in the frequency band containing the calculated frequency, and anormalized value as the square mean (V_(RMS)) or the partial overall(S_(OA)) of the overall frequency spectrum band are calculated (stepS502). Then, a quotient value obtained by dividing the square mean (Vi)or the partial overall (Si) in the primary component bandwidth by thenormalized value (V_(RMS) or S_(OA)) or a difference value between themis calculated (step S503).

Then, it is decided whether or not the quotient value or the differencevalue is within the normal range, more particularly whether or not thequotient value or the difference value exceeds a predetermined value, bycomparing/collating the quotient value or the difference value with thesaved reference data (step S504). Then, if the quotient value or thedifference value is more than or less than a predetermined referencevalue, it is decided that the abnormality is generated, and then theabnormality occurring location is identified based on the frequency band(step S505). Here, it may be determined by the actual measurement thatthe abnormality decision should be made depending on whether the abovevalue is more than the predetermined reference value or is less than thepredetermined reference value. Except the above case, it is decided thatno abnormality is generated (step S506).

The above method will be explained by referring to the actual measuredresult. FIG. 22 is a graph showing the frequency spectrum when theabnormality is generated in the outer ring, and FIG. 23 is a graphshowing the frequency spectrum when no abnormality is generated in theouter ring. The abnormal peak frequency band is present near the leftend (around 10 to 20 Hz) of FIG. 22. The square mean value Va of theoverall spectrum is 0.016. Also, the square mean value Vn of the overallspectrum corresponding to FIG. 20 is 0.008. Suppose that the frequencybandwidth extracted with respect to the abnormal frequency band(fundamental frequency) generated due to the flaw of the outer ring is 2Hz, the value derived by normalizing the square mean value by V in thisbandwidth is 90.78 in the case in FIG. 22 and is 38.47 in the case inFIG. 23. It is understood that, when the abnormality is generated, thenormalized value is about 2.4 times larger than that in the normalcondition. Therefore, if a predetermined threshold value is providedeither between 90.78 and 38.47 or to a ratio between the normalcondition and the abnormal condition, it can be decided that theabnormality is generated in the outer ring when the normalized value islarger than the threshold value.

Meanwhile, FIG. 24 and FIG. 25 show examples in which plural bands areemployed. FIG. 24 is a graph showing an envelope frequency spectrum ofthe machinery facility having the roller bearing, which has the damagein its outer ring, and the normal gear (the number of teeth; 31). InFIG. 24, five frequency peaks are observed and also the secondarycomponent to the quinary component are observed in every integralmultiple of the fundamental frequency. FIG. 25 shows an observed data inthe normal condition corresponding to FIG. 24, and no singular frequencyis found.

Then, the above approach is also applied to the data in FIG. 24 and FIG.25. The value derived by normalizing a sum of the square mean values inrespective bands of the fundamental frequency to the quinary component,which are generated due to the flaw of the outer ring, by the squaremean value of the overall spectrum is given as 11.64 in the case in FIG.24 and 5.19 in the case in FIG. 25. Here, the quinary harmonic means thefifth peak that is counted from the fundamental frequency. It isunderstood that, when the abnormality is generated, the normalized valueis about 2.2 times larger than that in the normal condition. Therefore,if a predetermined threshold value is provided either between 11.64 and5.19 or to a ratio between the normal condition and the abnormalcondition, it can be decided that the abnormality is generated in theouter ring when the normalized value is larger than the threshold value.

The above processes are the particular processing pattern when thedecision to check whether or not the abnormality is caused is made bythe comparing/deciding portion 36. The comparing/deciding portion 36 maybe constructed to execute the abnormality diagnosis by using pluraldeciding methods out of these methods. In order to improve an accuracyof the abnormality diagnosis, it is preferable that the abnormalityshould be decided by using plural deciding methods.

The data accumulating/outputting portion 38 is a saving portion forsaving the decision result of the comparing/deciding portion 36, and iscomposed of a hard disc, a memory medium, or the like. The dataaccumulating/outputting portion 38 outputs the decision result to acontrolling portion 41 and a result outputting portion 42. The dataaccumulating/outputting portion 38 is constructed to output the resultto the controlling/processing portion 40 in real time, but is notlimited to this. The data accumulating/outputting portion 38 may beconstructed to output periodically to the controlling/processing portion40, or may be constructed to output the result only when the result isnecessary for an operation of the controlling/processing portion 40(when it is decided that the abnormality occurs), as explained in thefollowing.

The controlling/processing portion 40 has the result outputting portion42 as a displaying means for displaying the analyzed result or thedecision result of the calculating/processing portion 30 in apredetermined display mode, and the controlling portion 41 for feedingback a control signal S1 to a control system, which controls anoperation of a driving system of the vehicle into which the bearing 21is incorporated, in response to the decision result of thecomparing/deciding portion 36.

More specifically, the result outputting portion 42 informs of theanalyzed result or the decision result of the calculating/processingportion 30 by a monitor, an image display, or a printing output to aprinter, and also informs of the result by flashing an alarm lamp oroperating an alarm when the decision result of thecalculating/processing portion 30 indicates that the abnormality isgenerated.

For example, when the decision result of the calculating/processingportion 30 indicates that the abnormality is generated, the controllingportion 41 feeds a control signal S1 instructing a travel stop of thevehicle, a reduction of the speed, or the like to a travel controller ofthe vehicle in answer to a degree of the abnormality. In the presentembodiment, a plurality of sensor units 22 sense continuously acondition of the bearing in the bearing unit, and thecalculating/processing portion 30 executes the abnormality diagnosissequentially based on the sensed data. Therefore, thecontrolling/processing portion 40 informs immediately of the abnormalitywhen the abnormality occurs, and then performs the control of thevehicle. That is, a flow of sensing, analyzing, deciding and resultoutputting processes are carried out in real time.

Now, the sensor unit 22 may be constructed to execute the measurementconstantly or may be constructed to execute the measurement everypredetermined time. Also, instead of the real-time abnormalitydiagnosis, only the measurement and the accumulation of measured datamay be executed during the traveling of the vehicle and then theanalysis may be executed later in another location. For example, onlythe measurement may be carried out in the daytime and then the analysis,the decision, and the result output may be carried out together with inthe nighttime.

As explained above, the axle bearing unit abnormality diagnosis system 1in the present embodiment is the abnormality diagnosis system thatdiagnoses the presence or absence of the abnormality of the bearing unitof the railway vehicle axle bearing unit, and includes thesensing/processing portion 20 having a plurality of sensing elements foroutputting the signal generated from the bearing unit as the electricsignal, the calculating/processing portion 30 performs the calculatingprocess to execute the abnormality diagnosis of the bearing unit basedon the output of the sensing/processing portion 20, the resultoutputting portion 42 for outputting the decision result from thecalculating/processing portion 30, and the controlling portion 41 forfeeding back the control signal to the control system of the railwayvehicle based on the decision result.

Also, in the abnormality diagnosis system 1 in the present embodiment,the outputs of the sensor units 22 incorporated in advance into thebearings 21 are analyzed by respective analyzing portions 32, 33, 35 ofthe calculating/processing portion 30 to check whether or not theabnormality is caused due to the wear or the failure of the constituentparts of the bearing 21. Then, the abnormality diagnosis system 1decides the presence or absence of the abnormality by comparing theanalyzed result with the reference data prepared previously in theinternal data saving portion 37.

Accordingly, this abnormality diagnosis system 1 can decide whether ornot the abnormality due to the wear or the failure of the constituentparts of the sensor built-in bearing 21 is present. Therefore, thepresence or absence of the abnormality can be decided in the normalcondition of use not to decompose the sensor built-in bearing 21 itselfor the railway vehicle itself containing the bearing 21. As a result, afrequency of overhauling/assembling operations that take a lot of timeand labor can be reduced, and thus maintenance/administrative costs canbe reduced.

Also, the decision is made mechanically based on the analysis and thecomparison executed by specified calculating processes. Therefore, thedecision is seldom varied owing to a degree of expertise or individualdifferences of the person in charge of inspection rather than the visualinspection in the prior art, and thus the reliability of the diagnosisto check the presence or absence of the abnormality can be improved.

Also, the sensor units 22 are installed directly into the outer ring, orthe like as the constituent parts of the rotating body constituting therolling bearing 21, and then the sensors can sense physical quantitiesgenerated from the rolling bearing 21 with high sensitivity. Therefore,such a possibility can be reduced that peaks of the frequency componentsof the sound or the vibration generated by other articles around therolling bearing 21 exert a harmful influence upon an SN ratio of thesignal sensed by the sensor, and thus improvement of analysis/decisionprecisions can be attained by improving the SN ratio of the outputsignal of the sensor.

As a consequence, such a possibility can be eliminated that, forexample, the sensed signal of the sensor unit 22 is largely distorted bythe peak of the frequency component of the noise generated when therailway vehicle passes over the rail joint, the vibration generated fromthe devices, and the like regardless of the bearing 21, and the like.Also, reduction of a computing load and reduction of a loss of timerequired for the analysis can be achieved by improving the SN ratio ofthe output signal of the sensor unit, and thus improvement of theanalysis/decision precisions and the acceleration of the process can beachieved.

Also, in the present embodiment, since the amplifiers that which amplifythe sensor output respectively are built in the sensor unit 22, theoutput signal of the sensor unit 22 has already been amplified to havethe large amplitude. Therefore, the influence of the noise superposed onthe signal transmission path between the sensor unit 22 and thecalculating/processing portion 30, or the like can be suppressed. As aresult, reduction of a process precision due to the noise can beprevented, and thus the reliability of the abnormality diagnosis can beimproved.

In this event, the abnormality diagnosis system 1 in the presentembodiment diagnoses the presence or absence of the abnormality of thebearing in the bearing unit and the abnormality occurring location, butthe system is not limited to this configuration. The system may beconstructed to diagnose the flat portion of the axle, or may beconstructed to diagnose the presence or absence of the abnormality ofthe gear in the bearing unit and the abnormality occurring location.Therefore, various large-size rotating bodies that take a lot of timeand labor to remove and fit the parts can be chosen as the object of theabnormality diagnosis in the present invention.

As above, the approaches (1) to (6) are described as the particularprocesses of the abnormality diagnosis executed by thecomparing/deciding portion 36 based on the vibration information. Butthe present invention is not limited to the above approaches. Theabnormality diagnosis may be executed by analyzing the frequencyspectrum by virtue of the cepstrum analysis.

Second Embodiment

Next, a machinery facility abnormality diagnosis system according to asecond embodiment of the present invention will be explained in detailhereunder. In this case, the same reference symbols are affixed to theportions similar to those in the first embodiment, and thus theirredundant explanations will be omitted or simplified hereunder.

In the present embodiment, as shown in FIG. 27, a sensing/processingportion 51 consisting of sensing portions 51 a, 51 b, 51 c each having asensor unit 52 that communicates with the calculating/processing portion30 via radio is provided in place of the sensing/processing portion 20.The sensing portions 51 a, 51 b, 51 c are constructed by fitting thesensor unit 52 onto the outer ring 23 of the bearing 21 respectively. Inthe sensor unit 52, a temperature sensing element 52 b, a rotationsensing element 52 c, a vibration sensing element 52 d, and atransmitting portion 52 h for radio communication are fitted into aninterior of a sensor case 52 a. An amplifier for amplifying the signalssensed by the sensing elements 52 b to 52 d by a predeterminedamplification factor may be provided to the sensing elementrespectively. The transmitting portion 52 h transmits the signals to areceiving portion 60 provided in the calculating/processing portion 30via radio.

With the above arrangement, the sensor unit can be fitted to the bearingunit without regard to the wiring between the sensing/processing portion51 and the calculating/processing portion 30, and the like. Therefore, amargin for arrangement of the sensors is increased and thus it can befacilitated to fit the sensor unit to the position that enhances asensing precision. The calculating/processing portion 30 and thecontrolling/processing portion 40 may be connected via radiocommunication by providing the similar transmitter portion and receiverportion.

Other configurations and operations are similar to those in the firstembodiment.

Third Embodiment

FIG. 28 is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to a thirdembodiment of the present invention. In a rotating body abnormalitydiagnosis system 60, the sensor unit installed into the sensor built-inbearing 21 that bears the axle is improved in the abnormality diagnosissystem 1 in the first embodiment, and also a installing mode of thecalculating/processing portion 30 and the controlling/processing portion40, which execute predetermined processes based on the output signal ofthe sensor unit, are devised.

The particular configurations of the processing methods of thecalculating/processing portion 30 and the controlling/processing portion40 are similar to those in the first embodiment. Therefore, the samereference numbers are affixed to the common configurations, and thusexplanation of the calculating/processing portion 30 and thecontrolling/processing portion 40 will be omitted herein.

A sensor unit 61 in the present embodiment is similar to the firstembodiment in that, as shown in FIG. 28, the sound J1, the temperatureJ2, the vibration J3, the rotation speed J4, the distortion J5, AE, themoving speed, the force, the ultrasonic wave, and others and that thesesensed signals are amplified by the amplifier 50 (not shown) to output.

The sensor unit 61 in the present embodiment has a radio communicationdevice that transmits the output signal fed from the amplifier 50 viaradio. An output of the sensor unit 61 is sent out to a signaltransmitting/receiving device 63 via radio communication.

For example, the signal transmitting/receiving device 63 is provided tosides of railway tracks, away stations, etc. at an appropriate intervalwithin an effective range of a radio signal along the traveling route ofa railway vehicle 65 on which the sensor built-in bearing 21 is mounted.The signal transmitting/receiving device 63 sends out the signalreceived from the sensor unit 61 to an information processing center 67via cable or radio communication.

The information processing center 67 has the calculating/processingportion 30 and the controlling/processing portion 40. The informationprocessing center 67 receives the output signals of the sensor units 61via the signal transmitting/receiving device 63 and accumulates thesignals in the data accumulating/distributing portion 31 in thecalculating/processing portion 30. Then, the dataaccumulating/distributing portion 31 distributes the received signals torespective analyzing portions 32, 33, 35 in the calculating/processingportion 30. Predetermined processes are applied to the distributedsignals in respective analyzing portions 32, 33, 35.

The identification information (ID information) used to identify thesensor unit that outputs the signal are contained in the output of thesensor unit 61. The calculating/processing portion 30 and thecontrolling/processing portion 40 decide from which bearing 21 thereceived output is sent out, based on the identification information todiscriminate the data and execute the process and the accumulation everybearing. As a result, the information processing center 67 causes thecalculating/processing portion 30 and the controlling/processing portion40 to share with a plurality of railway vehicles 65, and thus performsthe central management of the abnormality diagnosis of a plurality ofbearings 21.

Also, a radio communication device (not shown) for feeding back acontrol signal S1 to a control system of the railway vehicle 65 viaradio communication is added to the controlling/processing portion 40provided in the information processing center 67.

In the above abnormality diagnosis system 60, a margin for arrangementof the calculating/processing portion 30 and the controlling/processingportion 40 can be enhanced rather than the case where the output of thesensor unit 61 is transmitted to the calculating/processing portion viathe signal line provided on the railway vehicle having the bearings, andthus the install of the rotating body abnormality diagnosis system 60can be facilitated.

Also, since the identification information (ID information) arecontained in the signal output from the sensor unit 61, thecalculating/processing portion 30 and the controlling/processing portion40 in the information processing center 67 can be shared with aplurality of railway vehicles 65. Thus, the central management of theabnormality diagnosis of a large number of bearings 21 can be carriedout and thus improvement in an efficiency of the abnormality diagnosingprocess of the bearing 21 and reduction in a cost of the abnormalitydiagnosing equipment can be attained.

Other configurations and operations are similar to those in the firstembodiment.

Fourth Embodiment

FIG. 29 shows a schematic configuration of a machinery facilityabnormality diagnosis system according to a fourth embodiment of thepresent invention. In this case, the same reference symbols are affixedto the portions similar to those in the first embodiment, and thus theirredundant explanations will be omitted or simplified hereunder.

In a machinery facility abnormality diagnosis system 70 in the fourthembodiment, the sensor built-in bearing 21 shown in the first embodimentis used as the bearing that bears the axle of the railway vehicle 65,and then the data sensed by the sensor unit 22 incorporated into thebearing 21 are analyzed/decided by a calculating/processing portion 73and a controlling/processing portion 75 provided in an informationprocessing center 71 that is provided away from the railway vehicle 65.

In the calculating/processing portion 73, constituent means foranalyzing/deciding the signals output from the sensor unit 22 are commonto the first embodiment, but the data accumulating/distributing portion31 for accumulating temporarily the output data from the sensor unit 22and also distributing the data to the analyzing portions 32, 33, 35 inresponse to the data type can be detachably attached easily.

Also, the railway vehicle 65 is equipped with an accumulating portionconnector (not shown). The data accumulating/distributing portion 31attached to this accumulating portion connector can accumulate thesignals output by the sensor units 22 in the bearings 21 therein.

In this abnormality diagnosis system 70, the dataaccumulating/distributing portion 31 that accumulates the outputs of thesensor units 22 therein is removed from the railway vehicle 65 and thenis carried into the information processing center 71 and connected tothe calculating/processing portion 73 in the information processingcenter 71. Then, various data stored in the dataaccumulating/distributing portion 31 are analyzed/decided by thecalculating/processing portion 73, and then the result outputtingportion 42 in the controlling/processing portion 75 informs thecaretaker, or the like of the decision result and the analyzed result inthe calculating/processing portion 73.

After the analysis/decision of the accumulated data are completed, thedata accumulating/distributing portion 31 is subjected to themaintenance such as erase of the used data, or the like, as the case maybe, and then is returned to the railway vehicle 65 to use again.

The abnormality diagnosis system 70 having the above configuration isunsuited to the real-time analysis/decision. But this system is suitedto the case where the data accumulated in the dataaccumulating/distributing portion 31 are kept safe for a long term orare analyzed in detail.

Also, like the case of the third embodiment, the calculating/processingportion 73 and the controlling/processing portion 75 provided in theinformation processing center 71 can be shared with a number ofvehicles. Therefore, the abnormality diagnosis system 70 is suited toreduction in the cost of equipment required to execute the abnormalitydiagnosis.

Other configurations and operations are similar to those in the firstembodiment.

Fifth Embodiment

FIG. 30 shows a machinery facility abnormality diagnosis systemaccording to a fifth embodiment of the present invention. In this event,the same reference symbols are affixed to the portions similar to thosein the first embodiment, and thus their redundant explanations will beomitted or simplified hereunder.

A machinery facility abnormality diagnosis system 80 in the fifthembodiment detects generation of the abnormality generated due to thewear or the failure of constituent parts of the rolling bearing 21 fromthe rolling bearing 21 that bears the axle of the railway vehicle. Inother words, the rolling bearing 21 that bears the axle corresponds toat least one of the rotating body and the sliding member as thediagnosed object from which the presence or absence of the abnormalityis sensed, and the carriage or the railway vehicle whose axle issupported by the rolling bearings 21 corresponds to a machinery facility90 that contains one or plural rotating bodies or sliding members.

In the case of the present embodiment, the bearing 21 is the sensorbuilt-in bearing in which the sensor unit 22 for sensing variousphysical quantities such as sound, vibration, or the like generated inthe rotating operation of the bearing and outputting them as theelectric signal is fitted into the outer ring as the constituent partsof the bearing. A plurality of the sensor built-in bearings 21 are usedin one vehicle.

The machinery facility abnormality diagnosis system 80 in the presentembodiment includes a plurality of sensor units 22 provided everybearing 21, a microcomputer 81 as the calculating/processing portionthat decides the presence or absence of the abnormality in the bearing21 by analyzing the outputs of the sensor units 22 based onpredetermined calculating processes and then comparing the analyzedresult with reference data prepared in advance, and thecontrolling/processing portion 40 for displaying the analyzed result andthe decision result of the microcomputer 81 in a predetermined displaymode and feeding back the control signal to the control system of therailway vehicle in response to the decision result.

The physical quantity in the sliding operation (rotating operation) ofthe bearing 21 as the sliding member is the physical quantity that ischanged in response to the rotating condition of the bearing 21. Forexample, various information such as sound and vibration generated bythe bearing 21, rotation speed and temperature, distortion generated onthe constituent parts of the sliding member, and the like may beconsidered.

Like the first embodiment, the sensor unit 22 includes one or pluralsensing elements that sense a lot of information such as sound J1,temperature J2, vibration (vibration displacement, vibration speed,vibration acceleration) J3, rotation speed J4 of the bearing, distortionJ5 generated on the outer ring of the bearing, AE, moving speed, force,ultrasonic wave, etc. as the physical quantity that is changed inresponse to the rotating condition of the bearing 21. Then, the sensorunit 22 sends out these sensed information to the microcomputer(calculating/processing portion) 81 as the sensed signals.

The sensor unit 22 has such a configuration that various sensors areinstalled/held every sensed information in the sensor case 22 a securedto the outer ring of the bearing. Also, an output amplifying means foramplifying the output signals of respective sensors to output is builtin the sensor case 22 a.

The reference data that are compared with the analyzed result arevarious physical quantities that are sensed in the normal condition ofthe bearing 21 as the diagnosed object by the sensor unit. Moreparticularly, there are information such as frequency componentsgenerated by the wear and the failure of the particular location of thebearing 21, and the like, in addition to sound information of the normalbearing 21, temperature information of the bearing, vibrationinformation, rotation speed information of the bearing, distortioninformation generated on the outer ring of the bearing, and others.

The microcomputer 81 is a one-chip microcomputer or a one-boardmicrocomputer that is developed for the system in the presentembodiment. The similar processes to those executed in the inside of thecalculating/processing portion 30 are executed in the inside of themicrocomputer 81. More specifically, as shown in FIG. 31, themicrocomputer 81 has the data accumulating/distributing portion 31, thetemperature analyzing portion 32, the rotation analyzing portion 33, thefiltering processing portion 34, the vibration analyzing portion 35, thecomparing/deciding portion 36, and the internal data saving portion 37,and executes the calculating process of the electric signals as theoutput received from the sensor to identify the presence or absence ofthe abnormality of the bearing and the abnormality occurring location,as explained in the first embodiment. Then, the microcomputer 81 outputsthe abnormality diagnosis result to the controlling/processing portion40. In the present embodiment, the analyzed result in the analyzingportions 32, 33, 35 and the decision result in the comparing/decidingportion 36 are output directly to the controlling/processing portion 40.But the data accumulating/outputting portion may be provided, like thefirst embodiment.

The controlling/processing portion 40 has the result outputting portion42 as the displaying means for the analyzed result and the decisionresult in the microcomputer 81 in a predetermined display mode, and thecontrolling portion 41 for feeding back the control signal S1 to thecontrol system, which controls an operation of a driving mechanism ofthe vehicle into which the bearings 21 are incorporated, in response tothe decision result of the comparing/deciding portion 36. Theoperations/effects of the controlling/processing portion are similar tothose explained in the first embodiment.

In the machinery facility abnormality diagnosis system 80 in the presentembodiment explained as above, the presence or absence of theabnormality due to the wear and the failure of the constituent parts ofthe rolling bearing 21 can be decided by analyzing the output of thesensor unit 22, which is incorporated previously into the rollingbearing 21 as the sliding member, by virtue of the microcomputer 81 asthe information processing device and then comparing the analyzed resultwith the reference data prepared previously. Therefore, the abnormalitycan be decided still in the normal condition of use without overhaul ofthe rolling bearing 21 itself and the railway vehicle itself.

As a result, a frequency of the troublesome overhauling/assemblingoperations can be reduced and thus the maintenance/administrative costscan be reduced. Also, since the decision is made mechanically based onthe analysis and the comparison executed by specified calculatingprocesses, the decision is hardly varied owing to a degree of expertiseor individual differences of the person in charge of inspection ratherthan the visual inspection in the prior art, and thus the reliability ofthe diagnosis to check the presence or absence of the abnormality can beimproved.

Also, the information processing portion is constructed by using themicrocomputer 81, and the microcomputer 81 itself can be prepared as aone-chip or one-board small dedicated unit. Therefore, the overallsystem can be downsized considerably in comparison with the monitoringsystem that uses the general-purpose personal computer as theinformation processing device, and thus an occupied space required forthe equipment can be reduced. As a result, the installation of theinformation processing portion into the machinery facility containingthe sliding member (i.e., railway vehicle, or the like) can befacilitated.

Also, the sensor unit 22 is incorporated directly into the outer ring asthe constituent parts constituting the rolling bearing 21, or the like,and thus the sensor unit 22 can sense the physical quantity generated bythe rolling bearing 21 with high sensitivity. Therefore, such apossibility can be reduced that the peaks of the frequency components ofthe sound or the vibration generated by other articles surrounding therolling bearing 21 exert the harmful influence upon the SN ratio of thesignal sensed by the sensor, and thus improvement of theanalysis/decision precisions can be attained by improving the SN ratioof the output signal of the sensor.

In addition, since the information processing portion can be formed in acompact size and also there is no need to use the large general-purposecasing, or the like, an earthquake-proof property as the informationprocessing device can be improved easily. As a result, the informationprocessing portion as well as the sensor unit 22 can be arranged inclose vicinity to the rolling bearing 21, and thus the reliability ofthe abnormality diagnosis can be improved because the rolling bearing 21and the microcomputer 81 are arranged closely to avoid the influence ofthe external noise.

Also, in the present embodiment, an output amplifying means (amplifier)for amplifying the output signal to output is built in the sensor unititself. In this event, the output amplifying means for amplifying thesensor output may be connected between the sensor unit 22 and themicrocomputer 81, or may be built in the microcomputer 81 side.

Sixth Embodiment

FIG. 32 is a block diagram showing a schematic configuration of amachinery facility abnormality diagnosis system according to a sixthembodiment of the present invention.

A machinery facility abnormality diagnosis system 100 in the presentembodiment is constructed such that a single microcomputer 81 processesthe information of a plurality of sensor units 22. Since remainingconfigurations are similar to those in the fifth embodiment, the samereference numbers as those in the fifth embodiment are affixed to thecommon configurations, and thus explanation of the microcomputer 81 andthe controlling/processing portion 40 will be omitted herein.

In case the microcomputer 81 has an enough processing performance inreserve, the single microcomputer 81 is caused to process theinformation of a plurality of sensor units 22 in this manner. Therefore,the number of equipments of the expensive microcomputer 81 can bereduced and a cost reduction can be attained.

In the above embodiments, install positions of the microcomputer 81 arenot particularly mentioned. It is preferable that the microcomputer 81as well as the sensor unit 22 should be fitted to the rotating body orthe sliding member or the mechanism parts for supporting the slidingmember. By doing this, such a system instating mode can be realized thatboth the sensor unit 22 and the microcomputer 81 are arranged in closevicinity to each other on the same constituent member. Therefore, alength of the signal line between the sensor unit 22 and themicrocomputer 81 is not extended, and thus generation of thedisadvantages caused by interwining of the signal line, and the like canbe prevented.

Also, the influence of the external noise upon the signal transmissionline between the sensor unit 22 and the microcomputer 81 can be reduced,and thus the reliability of the sensed signal can be improved.

Seventh Embodiment

FIG. 33 shows a machinery facility abnormality diagnosis systemaccording to a seventh embodiment of the present invention.

In a machinery facility abnormality diagnosis system 110 in the seventhembodiment, the microcomputer 81 and the sensor unit 22 are mounted on asingle device substrate and then fitted to the constituent parts of therolling bearing 21 as a single processing unit 112. Since the rollingbearing 21 and the controlling/processing portion 40 to which themicrocomputer 81 outputs the decision result may have the sameconfiguration as those in the above embodiments, their explanation willbe omitted herein. According to the abnormality diagnosis system 110constructed in this manner, the fitting of the monitoring system to themachinery facility 90 can be completed by fitting the single processingunit 112 thereto, and thus a fitting workability can be improved.

In the machinery facility abnormality diagnosis system according to thepresent invention, the sensor unit 22 and the microcomputer 81 are notconnected via the signal cable, or the like, and the signal may betransmitted/received via radio communication. When doing this, a marginfor arrangement of the microcomputer 81 and the controlling/processingportion can be enhanced rather than the case where the output of thesensor unit 22 is transmitted to the microcomputer 81 via the signalcable that is provided on the equipment containing the sliding member,and thus the installation of the machinery facility abnormalitydiagnosis system can be further facilitated.

Eighth Embodiment

FIG. 34(a) and FIG. 34(b) show a machinery facility abnormalitydiagnosis system according to an eighth embodiment of the presentinvention.

In a machinery facility abnormality diagnosis system 151 of the eighthembodiment, a diagnosis unit 161 constructed by mounting a microcomputercontaining a CPU 152 to execute the calculating process, an amplifiercircuit (Amp) 153, A/D converters (ADCs) 154, 155, external memories(RAM, ROM, ROM) 156, 157, 158, and the communication circuits (LANIF,SCI) 159, 160 on a board (not shown) is installed into a case (casing)161A. Then, a piezoelectric sensor 162, a temperature sensor 163, and arotating pulse generator 164 are fitted to the bearing 21 as thesensors.

The piezoelectric sensor 162 detects a vibration acoustic signalgenerated when the rolling elements (not shown) of the bearing 21 passover the flaw on the raceway ring (not shown), an AE (acoustic emission)signal generated when the minute crack is developing, or the like, andconverts such signal into a voltage or charge signal. The voltage orcharge signal is amplified at about 20 to 40 dB by a pre-amplifier(preamplifier circuit) 165 arranged in close vicinity to thepiezoelectric sensor 162. Then, the signal after entered into the case161A is converted into a voltage signal, a level of which corresponds toan input range of the A/D converter 154, by the amplifier circuit 153.The voltage signal converted by the amplifier circuit 153 is input intothe A/D converter 154 via a bandpass filter (BPF) 166 and then is fed toa predetermined port of the microcomputer including the CPU 152. The A/Dconverter 154 is an external high-precision A/D converter with a 16-bitresolution.

Because the analog bandpass filter 166 is put at the preceding stage ofthe A/D converter 154 to pass the frequency of 1 kHz to 10 kHz, thelow-frequency mechanical vibration and the aliasing caused due to anupper limit frequency in the A/D conversion can be prevented. Thisfiltering function can be replaced with a digital filter such as PLD, orthe like that is put at the subsequent stage of the A/D converter. Suchpreprocess filtering may be executed in the CPU calculation, but thepreprocess filtering is separated from the CPU calculation because aprocessing speed and a program size are influenced.

Since the A/D converted value is obtained as the signed integer, afull-wave rectified waveform can be derived by calculating an absolutevalue of a finite-time wave. Because the full-wave rectified waveform isfinite, the FFT operation is executed after an influence of both ends islessened by applying the Window process. Since a floating-pointoperational unit is not provided to the microcomputer containing the CPU152, a fixed point operation that can be calculated by using the integeronly is used.

The resultant frequency distribution is compared with the frequency ofan envelope having a damping waveform decided by the rotating speed andthe number of the rolling elements in order of higher intensity. At thistime, bearing specifications stored in the external memories 157, 158and the speed value derived from the rotating pulse generator 164 areemployed.

The piezoelectric sensor 162 can get acoustic/elastic wave/AE signals.But its sampling frequency is set to 100 kHz for the purpose of sensingthe flaking/damage mainly.

The voltage signal generated by the temperature sensor 163 is input intothe A/D converter 155 via the amplifier circuit (not shown) and is givento a predetermined port of the microcomputer including the CPU 152. TheA/D converter 155 is an external high-precision A/D converter with10-bit resolution. The temperature sensor 163 and the rotating pulsegenerator 164 are set to a sampling frequency that is lower than that ofthe piezoelectric sensor 162.

The external memory 156 is formed of RAM, and the external memories 157,158 are formed of ROM. Also, the communication circuit 159 is composedof a LAN interface, and is connected to a LAN line (Local Area Network)167 via a twisted pair, a coaxial cable, an optical fiber cable, or thelike. When a radio LAN is employed, the communication circuit 159 isconnected to the LAN line 167 via radio. The communication circuit 160gives a serial communication interface, and is connected to a programloading/diagnostic data transmitting and receiving terminal 168.

The communication circuit 160 is used to transmit/receive in serial anextent of coincidence between the sensed frequency and respective flawfrequencies of the outer ring, the inner ring, the rolling elements, andthe retainer of the bearing 21. A parallel-type communication circuitmay be employed if it is used within a short distance. Preferably adedicated IC for ensuring a security should be interposed in thecommunication line.

The machinery facility abnormality diagnosis system 151 further includesa timer counter (TMUCNT) 169, a direct memory access controller (DMA)170, an interruption controller (INTC) 171, a D/A converter (DAC) 172,and an active gain control (AGC) 173. The D/A converter 172 is connectedto a diagnostic output connector and/or display 174.

The timer counter 169 counts up a pulse signal generated by the rotatingpulse generator 164 and then gives the number of counted pulses to apredetermined port of the microcomputer including the CPU 152.

The interruption controller 171 and the timer counter 169 are used tofeed the signal to the microcomputer including the CPU 152 at apredetermined sampling period. Normally the data are transferred to theexternal memory 156 via the microcomputer including the CPU 152. But thedirect transfer may be applied by the direct memory access controller170 to shorten extremely the sampling period.

When the operator can come close to the diagnosis unit 161 or when thediagnosis unit 161 can be put near the machine operator, the diagnosticoutput connector and/or display 174 is used to give the LED display orthe liquid crystal screen display via the LCD driver, give the soundoutput using the D/A output, or the like.

In the machinery facility abnormality diagnosis system 151, all the datadigitized by the signal processing are calculated by the microcomputerincluding the CPU 152, and various processing programs are loaded on theexternal memories 157, 158 attached separately. Also, since at least onemachinery facility abnormality diagnosis system 151 is used in one unitof the bearing 21, the specifications (dimensions of respectiveportions, material, number of the rolling elements, lubricant, date ofmanufacture) of the bearing 21 and the specifications (frequencycharacteristic, sensitivity) of the sensors 162, 163, 164 are stored inthe external memories 157, 158.

Also, since RMS, peak, crutosis, peak factor, etc. are assigned topredetermined addresses of the external memory 156 as amplitudeparameters, the external device can inquire about the data by using thecommunication function.

In the machinery facility abnormality diagnosis system 151, thepiezoelectric sensor 162, the temperature sensor 163, and the rotatingpulse generator 164 for sensing acoustic/elastic wave, ultrasonic wave,and mechanical vibration, for example, are fitted to the bearing 21, andthen the diagnosis unit 161 capable of amplifying/digitizing the signalsgenerated by these sensors, then applying the calculating process to thesignals by virtue of the microcomputer containing the CPU 152, and thenoutputting the calculated result is installed into the single case 161A.For this reason, the condition of the bearing 21 can be monitored with asimple configuration without overhaul and also the defect or theabnormality of the bearing 21 can be inspected. As a result, time andlabor required to overhaul and assemble the bearing 21 can be reducedand the damage of the bearing 21 caused by the overhauling and theassembling can be prevented. In addition, since the monitoring can beexecuted effectively with good precision, the higher-precision diagnosiscan be carried out and thus the defect that the visual inspection couldoverlook can be found. Also, the diagnosis unit 161 can be installedinto various machinery equipments other than the bearing 21 because suchdiagnosis unit 161 can be formed in a compact size by using small-sizesensors, the microcomputer, IC, and the circuit board, and the diagnosisunit 161 can be installed flexibly into various machinery equipmentsbecause such diagnosis unit 161 can have a communication capability, sothat the diagnosis unit 161 can contribute to the reduction in a costaspect and the energy saving measure. Since the ultrasonic pulse echoapproach can be utilized by providing not only a function of amplifyingthe signals from respective sensors but also a function of sending thepulse signal to the piezoelectric sensor 162, for example, to thediagnosis unit 161, the damage of the mechanical sliding surface in thestationary time and the metal contact condition between the slidingsurfaces in the running time can be sensed/diagnosed.

Also, in the machinery facility abnormality diagnosis system 151, one ormore out of temperature, vibration displacement, vibration speed,vibration acceleration, force, distortion, acoustic, acoustic emission,ultrasonic wave, and rotating speed can be sensed by the piezoelectricsensor 162, the temperature sensor 163, and the rotating pulse generator164. Therefore, the condition of the bearing 21 can be monitored withoutfail and also the defect or abnormality of the bearing 21 can beinspected without fail.

Also, in the machinery facility abnormality diagnosis system 151, themicrocomputer containing the CPU 152, the amplifier circuit 153, the A/Dconverter circuits 154, 155, the external memories 156, 157, 158, thecommunication circuits 159, 160, the timer counter 169, the directmemory access controller 170, the interruption controller 171, the D/Aconverter 172, and the active gain control 173 are employed in thecalculating process. Therefore, the diagnosis system that is excellentin a cost aspect can be realized by using a combination of thegeneral-purpose parts without custom parts.

Also, in the machinery facility abnormality diagnosis system 151, oneprocess or more out of calculation of feature parameters of a standarddeviation and a peak factor, envelope detection, FFT, filter, wavelettransform, short-time FFT, and calculation of a feature frequency due tothe defect of the rotating body and the comparing/deciding processes canbe executed in a digital fashion. Therefore, since the monitoring can beexecuted effectively with good precision, the higher-precision diagnosiscan be carried out and thus the defect that the visual inspection couldoverlook can be found surely.

Ninth Embodiment

FIG. 35(a) and FIG. 35(b) show a machinery facility abnormalitydiagnosis system according to a ninth embodiment of the presentinvention.

In a machinery facility abnormality diagnosis system 181 of the ninthembodiment, an impact sensor 183 that is formed as a bimorph of apiezoelectric ceramic element is installed a case 182A of a diagnosingunit 182, and also the impact sensor 183 and the temperature sensor 163are arranged integrally in the case 182A. Since other configurations aresimilar to those in the eighth embodiment, the same reference numbers asthose in the eighth embodiment are affixed to the common configurations,and thus explanation about them will be omitted herein.

In the machinery facility abnormality diagnosis system 181, an impactgenerated when the bearing 21 goes down is detected. Normally, thefeature parameter computing expressions for the natural impulse elasticwaves generated at the time of failure of the bearing 21 are stored inthe external memory 158. If the feature parameter decided based on awaveform signal, which is digitized via the impact sensor 183, anamplifier filter portion 184, and the A/D converter 155 as thehigh-precision external A/D converter with 10-bit resolution, and therotation speed has the dimension, mean value of the vibration value,standard deviation (rms), maximum value, peak (average of ten valuescounted from the maximum absolute value), etc. are calculatedpreviously. Meanwhile, if the feature parameter is dimensionless, wavewaveform, peak factor, impact index, skewness, crutosis, etc. arecalculated previously. The approach of sensing the defect of the bearing21 from the frequency domain data, which is obtained by the FFToperation by the microcomputer including the CPU 152, is similar to theseventh embodiment. In this event, the impact sensor 183 and theamplifier filter portion 184 may be integrated as far as the frequencyband permits.

The data of cross frequency of the feature parameter in other frequencydomain, extreme frequency, degree of irregularity, degree of contain ofthe rotating frequency, degree of contain of the rotating frequencyharmonics, degree of contain of the defect feature frequency componentpowers of respective parts of the bearing 21, etc. are registered in theexternal memory 156, and then are updated in a predetermined period.

The degradation diagnosis of the bearing 21 by the feature parametersmay be executed by the microcomputer including the CPU 152 in the case182A. Alternately, if the diagnosis is recognized by using theregression analysis in which a large number of parameters are relatedcomplicatedly or the learning algorithm using the neural network, thedata may be processed by transmitting the data to the computer, intowhich the recognition program is installed, separately via the LAN line167, or the like. Otherwise, it is preferable that the custom ICexclusively used for the recognition program or another microcomputershould be added.

In the machinery facility abnormality diagnosis system 181, thediagnosis unit 182 can be constructed by using small-size electronicparts, small-size sensors, and short wirings in addition to themicrocomputer including the CPU 152. Thus, such diagnosis unit 182 canbe installed into the space-saving case 182A and thus theinspection/diagnosis can be executed by such diagnosis unit 182incorporated into the bearing 21. Also, the diagnosis unit 182 can beconstructed in a compact size, and a cost can be further reduced byomitting the signal line extended from the sensors to thecalculating/processing device.

Tenth Embodiment

FIG. 36 shows a machinery facility abnormality diagnosis systemaccording to a tenth embodiment of the present invention.

In a machinery facility monitoring system 191 of the tenth embodiment, aDSP (digital signal processor, capable of executing a product-sumoperation in a filtering operation and a data transfer at a high speed)192 is incorporated into the calculating/processing portion.

In this embodiment, the eighth and ninth embodiments are revised suchthat the DSP 192 takes charge of the digital signal processing such asdigital filtering, FFT, and the like and also the microcomputercontaining the CPU 152 executes other processes. Also, for the samepurpose, the calculating/processing portion can be constructed by usinga PLD (programmable logic device) without the DSP.

In the above embodiment, the sliding member that is diagnosed to checkwhether or not the abnormality is present is not limited to the rollingbearing. More particularly, the sliding bearing, and the like correspondto the sliding member in addition to various rolling bearings. Also,constituent parts of the longitudinal motion mechanism such as the ballscrew, the linear guide, etc. correspond to the sliding member as thediagnosis object of the present invention. Also, various large-sizerotary sliding members such as the gear or the wheel of the railwayvehicle, etc., which take enormous time and labor to remove and fit, canbe selected as the abnormality diagnosis object of the presentinvention.

In the above embodiment, the machinery facility abnormality diagnosissystem itself is equipped with the controlling/processing portion thatfeeds back the signal responding to the decision result to a controllerthat controls an operation of the mechanism, into which the slidingmembers are incorporated, of the machinery facility such that thesensing of the abnormality by this abnormality diagnosis system leadsquickly to the maintenance and the operation management of the machineryfacility. However, the controlling/processing portion may be constructedas the independent equipment (system) that can be connected to theabnormality diagnosis system.

Eleventh Embodiment

Next, a machinery facility condition monitoring system according to aneleventh embodiment of the present invention will be explainedhereunder. In this event, the same reference symbols are affixed to theportions similar to those in the fifth embodiment, and thus theirredundant explanations will be omitted or simplified hereunder.

As shown in FIG. 37, a railway vehicle facility 210 as a machineryfacility, to which a condition monitoring system 230 (see FIG. 38) isapplied, includes a double row tapered roller bearing 211 as at leastone of the rotating body and the sliding member as the sensed object anda bearing housing 212 constituting a part of the railway vehiclecarriage.

The double row tapered roller bearing 211 has a pair of inner rings 214,214 having inner ring raceway surfaces 215, 215 inclined like a taperedouter surface on their outer peripheral surfaces, a single outer ring216 having a pair of outer ring raceway surfaces 217, 217 inclined likea tapered inner surface on an inner peripheral surface, tapered rollers218 as a plurality of rolling elements arranged in double rows betweenthe inner ring raceway surfaces 215, 215 of the inner rings 214, 214 andthe outer ring raceway surfaces 217, 217 of the outer ring 216, annularpressed retainers 219, 219 for holding rollably the tapered rollers 218,and a pair of sealing members 220, 220.

The bearing housing 212 has a housing 221, a front lid 222 fitted to afront end portion of the housing 221, and a rear lid 223 fitted to arear end portion of the housing 221.

An axle 224 is press-fitted into the inner ring of the double rowtapered roller bearing 211. A radial load imposed by weights of variousmembers, etc. and any axial load are applied to the double row taperedroller bearing 211. An upper area of the outer ring 216 serves as aloading range. Where the loading range denotes an area in which the loadis applied to the rolling element.

The housing 221 constitutes a side frame of the railway vehiclecarriage, and is formed like a circular ring to cover the outerperipheral surface of the outer ring 216. A pair of recess portions 225,225 are formed on the outer peripheral surface of the housing 221 in thecenter portion of each row of the double row tapered roller bearing 211in the axial direction. The recess portions 225, 225 receive therein thesensor units 22, 22 constituting a part of the condition monitoringsystem 230 and having the same configuration as the first embodiment.

Next, the condition monitoring system 230 of the eleventh embodimentwill be explained hereunder. The condition monitoring system 230 isdifferent from the fifth embodiment only in the process that is executedby a comparing/deciding portion 252 in a calculating/processing portion250 constructed by the microcomputer, but the processes in thesensing/processing portion 20 and the controlling/processing portion 40are equivalent to the abnormality diagnosis system in the fifthembodiment. In other words, the condition monitoring system 230 includesthe sensing/processing portions 20, 20 having the sensor units 22, 22provided to the rows of the double row tapered roller bearing 211respectively to output the condition of respective rows as the electricsignal, the calculating/processing portions 250, 250 forcalculating/processing the electric signals output from the sensor units22, 22 to decide the conditions such as the defect, the abnormality, orthe like of the railway vehicle facility 210, and thecontrolling/processing portion 40 for controlling/outputting thedecision result of the calculating/processing portions 250, 250.

The sensor units 22, 22 has sensors as a plurality of sensing elementsthat can sense the information such as sound J1, temperature J2,vibration J3, rotation speed J4, distortion J5, AE (acoustic emission),moving speed, force, ultrasonic wave, etc., which are generated from themachinery facility during the running, as the physical quantity thatchanges in response to the rotating state of the bearing 211 and thenoutput the information to the calculating/processing portions 250, 250as the electric signal. Here, since the calculating/processing portions250, 250 can appropriately distribute/process the electric signals everysensed information, a plurality of sensing elements for sensingindependently the particular signal such as sound, temperature,vibration, rotation speed, distortion, AE, moving speed, force,ultrasonic wave, or the like respectively may be employed in combinationas the sensor units 22, 22, otherwise a composite sensor unit capable ofsensing a plurality of information at the same time may be employed asthe sensor unit 22.

Also, the fitting position of the sensor unit 22 is selected on theouter peripheral portion of the housing 221 in the loading range of theradial load. Therefore, when the damage is caused on the bearing racewaysurface, for example, a collision force generated when the rollingelement passes over the damaged portion is larger in the loading rangethan the non-loading range. Thus, the abnormal vibration can be sensedin the loading range of the bearing with good sensitivity.

In addition, the sensor unit 22 is fitted into the recess portion 225formed in the housing 221. Therefore, since the sensor unit 22 is neveraffected by the fitting state of the sensor unit 22 and the surroundingenvironment (noise, moisture, wind pressure, etc.), the signal can besensed at a high SN ratio (noise-to-signal ratio) with high precision.Here, the sensor unit 22 may be incorporated into the rotating body, thesliding member, or the like.

Also, it is preferable that the function or the process of waterproof,oil-resistant, dustproof, rust-preventive, moisture-proof,heat-resistant, and electromagnetic noise-resistant properties should beadded or applied to the sensor unit 22 to lessen the influence of thenoise. In addition, it is more preferable that an amplifier functionshould be built in the sensing/processing portions 20, 20 and thus thereis no need to provide the special amplifier and the anxiety in regard tothe entering of the noise from the intermediate cable, or the like canbe removed.

The calculating/processing portions 250, 250 execute thecalculating/processing operations to decide the condition such as thedefect, the abnormality, or the like of the machinery facility based onthe electric signals output from the sensing/processing portions 20, 20.Such operations are executed by the microcomputer. The microcomputerconsists of an IC chip on which CPU, MPU, DSP, etc. are mounted, amemory, and the like.

As shown in FIG. 39, each of the calculating/processing portions 250,250 includes the data accumulating/distributing portion 31, thetemperature analyzing portion 32, the rotation analyzing portion 33, thefiltering processing portion 34, the vibration analyzing portion 35, thecomparing/deciding portion 252, and the internal data saving portion 37.These portions except the comparing/deciding portion 252 have theequivalent functions to those in the first embodiment.

The data accumulating/distributing portion 31 receives the electricsignals fed from respective sensing elements and accumulates themtemporarily, and also has collecting and distributing functions ofallocating the signal to any of the analyzing portions 32, 33, 35 inresponse to the type of the signal. Various signals are A/D-convertedinto the digital signal by an A/D converter (not shown) before they arefed to the data accumulating/distributing portion 31, then are amplifiedby an amplifier (not shown), and then are sent to the dataaccumulating/distributing portion 31. In this event, the A/D conversionand the amplification may be applied in reverse order.

The temperature analyzing portion 32 calculates the temperature of thebearing 211 based on the output signal from the sensing element thatsenses the temperature information J2, and then transmits the calculatedtemperature to the comparing/deciding portion 252. The analyzing portion32 has a temperature conversion table that responds to characteristicsof the sensing elements, and calculates the temperature data based on alevel of the sensed signal.

The rotation analyzing portion 33 calculates the rotation speed of theinner ring 214, i.e., the axle 224, based on the output signal from thesensing element that senses the rotation speed information J4, and thentransmits the calculated rotation speed to the comparing/decidingportion 252. In this case, when the sensing element is composed of anencoder fitted to the inner ring 214, a magnet fitted to the outer ring216, and a magnetism sensing element, the signal output from the sensingelement is given as a pulse signal that responds to a shape of theencoder and the rotation speed. The rotation analyzing portion 33 has apredetermined transformation function or transformation table inresponse to a shape of the encoder, and then calculates the rotationspeed of the inner ring 214 and the axle 224 in compliance with thefunction or the table.

The vibration analyzing portion 35 executes the frequency analysis ofthe vibration generated in the bearing 211, based on the output signalfrom the sensing element that senses the vibration information J3. Moreparticularly, the vibration analyzing portion 35 is an FFT calculatingportion for calculating the frequency spectrum of the vibration signal,and calculates the frequency spectrum of the vibration based on the FFTalgorithm. Then, the calculated frequency spectrum is transmitted to thecomparing/deciding portion 252. Also, the vibration analyzing portion 35may execute the absolute-value process and the envelope process as thepreprocessing of FFT, and may convert the frequency spectrum into thefrequency component necessary for the diagnosis only. The vibrationanalyzing portion 35 may also output the envelope data obtained afterthe envelope process to the comparing/deciding portion 252, as the casemay be.

Normally, the abnormal frequency band of the vibration generated due tothe rotation of the bearing are decided depending upon a size of thebearing, the number of the rolling elements, etc. The relationshipsbetween the defects of respective members of the bearing and theabnormal vibration frequencies generated in respective members are givenas shown in FIG. 4. In the frequency analysis, the maximum frequency atwhich the Fourier transform can be applied (Nyquist frequency) isdecided according to the sampling time. Thus, preferably the frequencythat is in excess of the Nyquist frequency should not be contained inthe vibration signal. Therefore, the present embodiment is constructedsuch that the filtering processing portion 34 is provided between thedata accumulating/distributing portion 31 and the vibration analyzingportion 35, then a predetermined frequency band is cut out by thefiltering processing portion 34, and then the vibration signalcontaining only the cut-out frequency band is transmitted to thevibration analyzing portion 35. When the axle is rotating at a low speedin the railway vehicle, only the frequency component of 1 kHz or less,for example, may be extracted.

In FIG. 39, the temperature analyzing portion 32, the rotation analyzingportion 33, and the vibration analyzing portion 35 are illustrated. Theanalyzing portions may be provided in answer to the information that aresensed by respective sensing elements in the sensor unit.

The comparing/deciding portion 252 compares/collates the resultsanalyzed by the temperature analyzing portion 32, the rotation analyzingportion 33, and the vibration analyzing portion 35 with the informationas the diagnosis reference, which is used to check the presence orabsence of the abnormality of the bearing, every first time period t₁ toprovisionally diagnose whether or not the abnormality is generated inthe bearing. Also, the comparing/deciding portion 252 transmits theprovisional diagnosis results, which have been compared/collated everyfirst time period t₁, to the internal data saving portion 37 to savethem.

In addition, when the comparing/deciding portion 252 has executed thecomparison/decision predetermined number of times or a second timeperiod t₂ that is longer than the first time period t₁ has elapsed, suchcomparing/deciding portion 252 makes the total evaluation, in which thebearing is considered as the abnormal state when the number of times thebearing is diagnosed provisionally as the abnormality exceeds athreshold value, based on the provisional diagnosis results saved in theinternal data saving portion 37, and thus diagnoses the presence orabsence of the abnormality in the bearing and its abnormal location. Inthis event, the total evaluation may be constructed to decide an extentof abnormality based on the number of times the bearing is diagnosedprovisionally as the abnormal state and then diagnose the presence orabsence of the abnormality and its abnormal location.

More specifically, the comparing/deciding portion 252 compares/collatesthe frequency spectrum of the vibration calculated by the vibrationanalyzing portion 35 with the reference values saved in the internaldata saving portion 37 every first time period t₁ to provisionallydiagnose whether or not the abnormal vibration is being generated. Wherethe reference values are data values of frequency components due to thewear and the damage of the particular location of the bearing calculatedbased on the rotation speed signal of the period signal as the operatingsignal of the machinery facility.

As the provisional diagnosis processing method executed by thecomparing/deciding portion 252 based on the vibration information, anyone of above methods (1) to (3) and (5) to (6) may be employed.

The comparing/deciding portion 252 executes the comparison/collationevery first time period t₁ by using the above methods (1) to (3) and (5)to (6), and then transmits the provisional diagnosis result about thepresence or absence of the abnormality to the internal data savingportion 37 to save the result therein. Also, when the comparing/decidingportion 252 has executed the comparison/decision predetermined number oftimes or a second time period t₂ that is longer than the first timeperiod t₁ has elapsed, such comparing/deciding portion 252 makes thetotal evaluation, in which the bearing is considered as the abnormalstate when the number of times the bearing is diagnosed provisionally asthe abnormality exceeds a threshold value, based on the provisionaldiagnosis results saved in the internal data saving portion 37, and thusdiagnoses the presence or absence of the abnormality in the bearing andits abnormal location.

In this case, the result of each sensed object in the comparing/decidingportion 252 may be saved in a storing medium such as memory, HDD, or thelike, or the result may be transmitted to the controlling/processingportion 40.

The controlling/processing portion 40 has the result outputting portion42 as a displaying means for displaying the analyzed result and thedecision result of the calculating/processing portions 250, 250 in apredetermined display mode, and the controlling portion 41 for feedingback the control signal responding to the decision result of thecomparing/deciding portion 252 to the control system that controls theoperation of the driving mechanism of the vehicle into which the bearing211 is fitted.

More particularly, the result outputting portion 42 informs of theanalyzed result and the decision result of the calculating/processingportion 250 by the monitor, the image display, the printing output tothe printer, and also informs of the abnormality by the alarm devicesuch as the light, the buzzer, or the like when the decision result ofthe comparing/deciding portion 252 indicates that the abnormalityexists.

For example, when the decision result of the comparing/deciding portion252 indicates that the abnormality is present, the controlling portion41 feeds the control signal indicating the travel stop of the vehicle,the reduction of speed, or the like to a travel controller of thevehicle in response to an extent of the abnormality. In the presentembodiment, a plurality of sensor units 22 measures continuously thecondition of the bearing of the bearing unit, and thecalculating/processing portion 250 conducts sequentially the abnormalitydiagnosis based on the measured data. Therefore, thecontrolling/processing portion 40 informs of the abnormality immediatelyto execute the control of the vehicle when the abnormality occurs. Inother words, a flow of sensing, analyzing, deciding, and resultoutputting are carried out in real time.

In this case, any means may be employed to transmit the signal betweenthe sensing/processing portion 20, the calculating/processing portion250, and the calculating/processing portion 250 if the signal can betransmitted/received precisely. The cable may be employed or the radiomay be employed in light of the network.

Next, the diagnosis process in the condition monitoring method in thepresent embodiment will be explained with reference to FIG. 40hereunder.

First, a counter in the microcomputer is initialized into n=0 (stepS601), and the diagnosis is started. Then, the signal such as the sound,the vibration, or the like generated from the railway vehicle facility210 and sensed by the sensor in the sensing/processing portion 20 isinput into the microcomputer (step S602). Then, the signal generatedfrom the railway vehicle facility 210 is converted into the digitalsignal by the A/D converter (step S603). Then, the digital signal issubjected to the amplifying process by the amplifier (step S604). Afterthe amplifying process is executed, the counted value of the counter isset to n=n+1 (step S605). Then, the filtering process is applied to theamplified digital signal by the filtering processing portion 34 (stepS606), and thus the noise component is removed or the particularfrequency component is extracted.

Then, the digital signal, after the filtering processing, is sent to thevibration analyzing portion 35, and the analyzing process such as theenveloping process, the frequency analysis, etc. are executed there(steps S607, S608). Thus, the frequency components based on the actuallymeasured data representing the signals sensed from the railway vehiclefacility 210 are derived. Meanwhile, the rotation speed signal of therailway vehicle facility 210 is sensed by the sensor in thesensing/processing portion 20 (step S609). Then, a theoretical frequencycomponent generated due to the damage of the railway vehicle facility210 and serving as a reference value is calculated based on the rotationspeed signal (step S610). Then, the frequency components based on theactually measured data are compared/collated with the theoreticalfrequency component calculated in step S610 by the comparing/decidingportion 252 every first time period t₁ according to any of the aboveapproaches (1) to (3) and (5) to (6) (step S611), and the provisionaldiagnosis to check whether or not the abnormality is present in theparticular location of the railway vehicle facility is executed. Theresult is saved together with the counter value n in the internal datasaving portion 37 (step S612).

Then, the counter value n is compared with a predetermined number oftimes N (step S613). Then, if the counter value n is smaller than thepredetermined number of times N, the process goes back to step S602 andthen the processes in steps S602 to S612 are repeated. In contrast, ifthe counter value n is in excess of the predetermined number of times N,the evaluation in which the bearing is considered as the abnormal statewhen the number of times the bearing is diagnosed as the abnormal statein the provisional diagnosis exceeds the threshold value (referred to asthe “total evaluation” hereinafter) is executed by using N savedresults, and thus the presence or absence of the abnormality in therailway vehicle facility 210 and its location are diagnosed (step S614).Then, the diagnosis result is saved or is fed to thecontrolling/processing portion 40, and then the diagnosis result isdisplayed (step S615) or the feedback control is applied by thecontrolling portion 41. Thus, the diagnosis is ended.

As a consequence, in the condition monitoring method in the presentembodiment, the total evaluation in which the presence or absence of theabnormality and its location are diagnosed by using pluralcompared/collated results is employed. Therefore, the influence of theimpulsive noise, etc. upon the diagnosis can be lessened and thus themonitoring can be executed effectively with good precision.

In the present embodiment, since the frequency component iscompared/collated every first time period t₁, the timing in the totalevaluation may be evaluated by employing any second time period t₂longer than the first time period t₁ instead of the predetermined numberof times N.

Also, the amplifying process and the filtering process in the conditionmonitoring method in the present embodiment may be executed arbitrarily,and thus carried out as the case may be.

In addition, in step S614 in FIG. 40, the total evaluation in which thepresence or absence of the abnormality and its location are decided bycomparing the number of times the bearing is provisionally diagnosed asthe abnormal state with the threshold value is employed. Alternately, asa variation of the present embodiment, the condition monitoring can beexecuted by using the total evaluation in which an extent of the damageis decided based on the number of times the bearing is provisionallydiagnosed as the abnormal state. As a result, the maintenance can beapplied on schedule to the machinery facility an operation of which isnot immediately stopped, or the like.

In the present embodiment, the condition monitoring is applied to thedouble row tapered roller bearing in the railway vehicle facility. Butthe condition monitoring may also be applied to other machineryfacilities such as a machine tool, the windmill, and others.

Also, the double row tapered roller bearing as the rolling bearing isemployed as the rotating body or the sliding member. But the conditionmonitoring method and system can also be applied to the ball screw, thelinear guide, the linear ball bearing, or the like in addition to therolling bearing. In this case, as the operation signal of the machineryfacility used to calculate the reference value in thecomparison/collation, the rotation speed signal is used in the case ofthe rolling bearing, the ball screw, or the like as the rotating bodywhereas the moving speed is used in the case of the linear guide, thelinear ball bearing, or the like as the sliding member.

Further, if the sensor including at least one sensing element selectedfrom at least sound, temperature, vibration, rotation speed, distortion,AE, and moving speed is provided, the presence or absence of theabnormality can be analyzed by the condition monitoring method andsystem. But it is preferable that the presence or absence of theabnormality should be analyzed by using at least one of the sensingelements of sound, vibration, and AE. Also, from an aspect of capable ofutilizing the past abnormality database, it is desired to analyze thepresence or absence of the abnormality by using the vibrationinformation. However, in case the abnormality should be sensed in aninitial stage of occurrence of the minute crack or in case the internaldefect should be sensed, it is appropriate to employ the AE informationin place of the vibration information. If the temperature information isemployed in combination with the vibration information or the AEinformation, such information can have the larger effect than the casewhere such information is employed solely.

Twelfth Embodiment

Next, a machinery facility abnormality diagnosis system according to atwelfth embodiment of the present invention will be explained hereunder.In this event, the same reference symbols are affixed to the portionssimilar to those in the first embodiment, and thus their redundantexplanations will be omitted or simplified hereunder.

FIG. 41 is a view showing a bearing housing 301 of the railway vehiclebearing unit serving as the machinery facility to which an abnormalitydiagnosis system 310 according to the twelfth embodiment of the presentinvention is applied. The bearing housing 301 is fitted to cover an endportion of the axle of the railway vehicle, and holds rotatably the axleof the railway vehicle via a bearing (not shown in FIG. 41) incorporatedinto the inside. Also, a cover 302 for covering the end portion of theaxle of the railway vehicle is fitted to a housing 303 in the bearinghousing 301.

The bearing housing 301 is fixed by four bolts 304 provided to fourcorners via the housing 303. Also, a hole used to measure thetemperature of the bearing is provided to a side surface of the housing303 and is stopped with a bolt 305. In the present embodiment, thesensor unit 22 of the above sensing/processing portion 20 is fitted toan end surface of the bolt 304 or the bolt 305, and the signalsgenerated from the bearing in the bearing housing are sensed byrespective sensors in the sensor unit 22.

FIG. 42 is a view showing an overall configuration of the abnormalitydiagnosis system 310 using the sensor unit 22 in the present embodiment.As shown in FIG. 42, a rolling bearing 306 is put into the bearinghousing 301. The rolling bearing 306 is constructed by arranging rollingelements 309 made of a plurality of balls or rollers between an outerring 307 fitted into the housing 303 and an inner ring 308 fitted ontothe axle of the railway vehicle. Thus, the bearing housing 301 bearsrotatably the axle of the railway vehicle via the rolling bearing 306.

As shown in FIG. 42, the sensor unit 22 is fitted to the end surface ofthe bolt 304 or 305 secured to the surface of the housing 303. Thesensor unit 22 can be fitted to the end surface of the bolt 304 used tofix the bearing housing, but the sensor unit may be fitted to the endsurface of the bolt 305 used to stop the temperature sensing hole, asdescribed above. Normally this bolt 305 is given to every rollingbearing 306 fitted to the inside. For example, in the case of the doublerow bearing, the fitting location can be selected on the row located onthe wheel side, the row located on the motor side, the middle location,or the like according to the purpose. But it is preferable that, forconvenience of the fitting operation, the bolt 305 should be fitted tothe wheel side and the sensor unit 22 should be provided to the endsurface of the bolt 305. Also, the sensor unit 22 can be fitted to notthe end surface of the bolt 305 but the side surface or the inside ofthe hole that is stopped with this bolt 305.

It is preferable that the sensor unit 22 and the bolts 304, 305 shouldbe tightly fitted/fixed without unsteadiness, looseness, or the like.More particularly, in view of the running conditions, the fittingconditions, characteristics of the sensor, and so on, the suitablefitting approach can be selected appropriately among various approachessuch as screwing, bonding, magnet, inserting, molding integrally withthe bolt, etc.

Also, in case the fitting location of the sensor unit 22 is chosen inthe noisy area, preferably the sensor unit 22 should be fitted to beisolated from the circumference. If the sensor can be isolated from thecircumference, the noise can be reduced and also the SN ratio can beimproved.

In addition, in order to execute the sensing at the high SN ratio, it ispreferable that the sensor unit 22 should be fitted in the loading rangeof the rolling bearing 306, as indicated by A1 in FIG. 5, like the firstembodiment. If the sensor unit 22 is fitted to the portion to which theload is applied (loading range), the signal can be sensed with goodsensitivity and thus the higher-precision measurement can be done.

Also, in case the sensor is fitted inevitably in the non-loading range,e.g., when no space is found in the loading range to fit the sensor,when the high-tension cable that emits the noise is provided in theloading range, or the like, it is preferable that the sensingsensitivity of the signal can be enhanced by executing the filteringprocess.

Here, the sensor unit 22 has the similar structure/functions to those ofthe sensor unit used in the first embodiment. Also, thecalculating/processing portion 30 and the controlling/processing portion40 shown in FIG. 42 have the similar structure/functions to those of thesensor unit used in the first embodiment.

According to the abnormality diagnosis system 310 of the presentembodiment, the sensing/processing portion 20 consisting of the sensorunit 22 that is fixed to the end surface of the bolt 304 or 305, whichis screwed into the housing 303 of the bearing housing 301 that supportsthe rolling bearing 306 as the rotating body in the railway vehicle, andhas the sensing element to output the signal generated from the rollingbearing 306 as the electric signal, the calculating/processing portion30 for conducting the abnormality diagnosis of the bearing unit based onthe output of the sensor unit 22, and the controlling/processing portion40 for feeding back the control signal to the control system of therailway vehicle based on the decision result of thecalculating/processing portion 30 are provided.

More specifically, like the first embodiment, the calculating/processingportion 30 includes the data accumulating/distributing portion 31 foraccumulating the electric signal fed from the sensing/processing portion20 and distributing the signal to the suitable distributing routeaccording to the type of the signal, the analyzing portions 32, 33, 35for calculating the predetermined physical quantity in regarding to therailway vehicle as the machinery facility based on the electric signaldistributed from the data accumulating/distributing portion 31, theinternal data saving portion 37 as the first data saving portion inwhich machine equipment data concerning to the machine equipment aresaved, the comparing/deciding portion 36 for conducting the abnormalitydiagnosis of the machine equipment by comparing the physical quantitycalculated by the analyzing portion with the machine equipment datasaved in the internal data saving portion, and the dataaccumulating/outputting portion 38 as the second data saving portion forsaving the analyzed result by the analyzing portion and the abnormalitydiagnosis result by the comparing/deciding portion.

According to the abnormality diagnosis system 310, since the physicalinformation about the rolling bearing 306 are collected by using thesensor unit 22 and the abnormality of the rolling bearing 306 isdiagnosed based on the physical information to execute the control, thedefect of the rolling bearing 306 can be sensed without decomposition ofthe bearing housing 301. Therefore, the time and labor required for thedecomposition and the assembling of the bearing housing 301 can bereduced and also the damage of the rolling bearing 306 and the bearinghousing 301 attendant upon the assembling after the decomposition can beprevented. Also, in the present embodiment, since the diagnosis is madeby the abnormality diagnosis system 310 based on the predeterminedreferences, it is possible to find the defect that the visual inspectionmay overlook.

Also, according to the present embodiment, since the sensor unit 22 isfixed onto the bolt 304 or 305, there is no need to provide particularlythe flat surface, onto which the sensor unit 22 is fitted, on thebearing housing 301. Therefore, the sensor unit 22 can be fitted withoutreform of the bearing housing 301. As a result, the abnormalitydiagnosis can be conducted by installing the sensor unit 22 of theabnormality diagnosis system 310 into the bearing housing 301 withoutextra time/labor and cost.

In the present embodiment, explanation is made of the rolling bearing inthe bearing housing of the railway vehicle as an example, but thepresent invention is not limited to this. The present invention can alsobe applied to other rotating parts (gear, wheel itself) of the railwayvehicle, the windmill, the reduction gear, the electric motor, the ballscrew, the linear guide, and others.

Also, the calculating/processing portion 30 may have the functions ofthe calculating/processing portion achieved by the microcomputer 250 inthe eleventh embodiment.

Also, as shown in FIG. 43, the calculating/processing portion 30 of theabnormality diagnosis system 310 in the present embodiment may beconstructed by the one-chip or one-board microcomputer 81 shown in thefifth to tenth embodiments, or may be constructed by the IC chip. Inaddition, the controlling/processing portion 40 may also be constructedby the one-chip or one-board microcomputer or the IC chip. Also themicrocomputer in which the calculating/processing portion 30 and thecontrolling/processing portion 40 are integrally provided may be loadedon the machine equipment such as the vehicle, or the like.

Also, as shown in FIG. 44, the controlling/processing portion 40 may beremoved from the vehicle and installed on the ground, and then the radiocommunication may be established between a transmitter/receiver 370provided on the vehicle and a transmitter/receiver 380 provided adjacentto the railway. In this case, the functions corresponding to thecontrolling/processing portion 40 can be provided to the informationprocessing center provided on the ground, for example. This informationcenter may be constructed to receive the information from themicrocomputers 81 provided to a plurality of vehicles respectively andto collectively control a plurality of vehicles intensively, forexample. In this case, the ID number, or the like may be added to thedata sent out from the vehicles respectively to identify the informationof respective vehicles. Similarly the sensor unit 22 and themicrocomputer 81 may be connected via radio communication.

As a result, the signal transmission between the sensing/processingportion 20 and the calculating/processing portion 30 or thecalculating/processing portion 30 and the controlling/processing portion40 can be made without a wire connection.

Thirteenth Embodiment

Next, a bearing unit according to a thirteenth embodiment of the presentinvention will be explained hereunder. As shown in FIG. 45, a bearingunit 410 according to a thirteenth embodiment of the present inventionis constructed by a double row tapered roller bearing 411, a bearinghousing 412 constituting a part of the carriage for the railway vehicle,and an abnormality sensing means 413.

The double row tapered roller bearing 411 has a pair of inner rings 414,414 having inner ring raceway surfaces 415, 415 inclined like a taperedouter surface on their outer peripheral surfaces, a single outer ring416 having a pair of outer ring raceway surfaces 417, 417 inclined likea tapered outer surface on their inner peripheral surfaces, taperedrollers 418 as the rolling elements that are arranged in plural betweenthe inner ring raceway surfaces 415, 415 of the inner rings 414, 414 andthe outer ring raceway surfaces 417, 417 of the outer ring 416 in doublerow, annular pressed retainers 419, 419 for holding rollably the taperedrollers 418, and a pair of sealing members 420, 420.

A radial load applied by weights of various members, etc. and any axialload are imposed onto the double row tapered roller bearing 411. Anupper portion of the outer ring 416 is the loading range of the bearing.

The bearing housing 412 consists of an axle end member 421, a housing422, a cover 423, and a shroud 424.

An inner ring spacer 425 is arranged between the inner rings 414, 414.Also, inner ring spacers 426, 426 are arranged on both outer sides ofthe inner rings 414, 414 in the axial direction. An axle 401 is fittedinto the inner rings 414, 414 and the inner ring spacers 425, 426, 426.The inner ring raceway surfaces 415, 415 of the inner rings 414, 414restrict the movement of the tapered rollers 418 in the axial direction.

The outer ring raceway surfaces 417, 417 of the outer ring 416, theinner ring raceway surfaces 415, 415 of the inner rings 414, 414, andthe tapered rollers 418 are positioned such that vertexes located onprolonged lines of respective tapered surfaces are converged on onepoint on the axis line.

Out of the sealing members 420, 420, one sealing member 420 arranged onthe top end portion side of the axle 401 is fitted between the outer endportion of the outer ring 416 and the axle end member 421.

The other sealing member 420 arranged on the counter top end portionside of the axle 401 is fitted between the outer end portion of theouter ring 416 and the shroud 424.

The axle end member 421 is fixed by screwing bolts 401 a into the topend portion of the axle 401 to cover the inner ring spacer 426 arrangedat the top end portion of the axle 401.

The housing 422 constitutes a side frame of the railway vehiclecarriage, and is formed like the annular ring to cover the outerperipheral surface of the outer ring 416. A pair of projected walls 422a, 422 a being projected into the inner peripheral surface are mountedon both side end portions of the outer ring 416. Then, a recess portion422 b in which the abnormality sensing means are housed is formed on theouter peripheral surface of the housing 422 corresponding to the centerportion of the double row tapered roller bearing 411 in the axialdirection. A flat surface 422 c is formed on a bottom portion of therecess portion 422 b.

The cover 423 is put on the top end portion of the housing 422. Theshroud 424 is positioned between the end portion of the housing 422 andthe axle 401 to cover the other sealing member 420 on the counter topend portion side of the axle 401.

The abnormality sensing means 413 is a composite sensor in which atemperature sensor 427 and a vibration sensor 428 are integrallyprovided. The temperature sensor 427 is a non-contact type temperaturemeasuring element such as a thermistor temperature measuring element, aplatinum resistance temperature sensor, a thermocouple, or the like. Thevibration sensor 428 is a vibration measuring element such as apiezoelectric element, or the like.

Also, since the temperature sensor 427 and the vibration sensor 428 arealigned in the axial direction of the bearing and resin-molded in therecess portion 422 b of the housing 422, such temperature sensor 427 andsuch vibration sensor 428 are integrally molded in a case 429. Thus, theabnormality sensing means 413 is fitted in the loading range of thehousing 422 and the double row tapered roller bearing 411 in the centerportion in a bearing width. The molding material used in the resinmolding is the material that is rich in the waterproof property, theheat resisting property, and the insulating property.

The temperature sensor 427 senses the temperature of the double rowtapered roller bearing 411 via the housing 422 to generate thetemperature data signal (voltage signal). The temperature data signalgenerated by the temperature sensor 427 is transferred to the externalcontrolling portion via a signal carrying means 430 provided in the case429, and is used to sense the seizure abnormality of the double rowtapered roller bearing 411. Here, as the temperature sensor 427, atemperature fuse that does not conduct by causing either a contact of abimetal to disconnect or a contact to fuse when the atmospherictemperature exceeds a specified value may be employed. In such case,when the temperature of the device exceeds a specified value, conductionof the temperature fuse is cut off and thus the temperature abnormalityis sensed.

The vibration sensor 428 senses the vibration of the double row taperedroller bearing 411 via the housing 422 to generate the vibration datasignal (voltage signal). The vibration data signal generated by thevibration sensor 428 is transferred to the external controlling portionvia the signal carrying means 430 provided in the case 429, and is usedto sense the flaking of the inner ring raceway surfaces 415, 415 and theouter ring raceway surfaces 417, 417 of the double row tapered rollerbearing 411, the fracture of the gear, and the flat wear of the wheel.Here, as the vibration sensor 428, any sensor capable of transformingthe vibration such as acceleration, speed, displacement, or the likeinto the electric signal may be employed. When the vibration sensor isfitted to the device that is often exposed to the disturbance such asthe noise, and the like, it is desired that the sensor does not sufferthe noise by using the insulation type.

Since the temperature sensor 427 and the vibration sensor 428 arearranged in the case 429 formed by the molding, the entering of therainwater can be prevented without fail. Also, since the temperature andthe vibration can be sensed during the rotation, the defect of aplurality of parts can be inspected concurrently without overhaul of thesystem into which the rotating parts are incorporated. Since thevibration-proof property against the vibration applied from the outsidecan be improved rather than the case where the sensor is fixed to theoutside of the housing 422, the reliability of the sensing performancecan be improved tremendously. Also, since the sensor is never subjectedto the surrounding circumstances such as fitting condition, rainwater,wind pressure, and the like in contrast to the case where respectivesensors are fixed with the screws separately, the high-precision signalcan be generated at the high SN ratio (signal-to-noise ratio).

As shown in FIG. 46, in the first signal processing method in theabnormality sensing means 413, the temperature data signal generated bythe temperature sensor 427 and the vibration data signal generated bythe vibration sensor 428 are input into a comparator 431 via the signalcarrying means 430. Then, the temperature data signal value given fromthe temperature sensor 427 is compared with a predetermined temperaturethreshold value saved in a threshold setting portion 432 in thecomparator 431. Similarly, the vibration data signal value given fromthe vibration sensor 428 is compared with a predetermined vibrationthreshold value saved in the threshold setting portion 432. That is, atleast one abnormality selected from the temperature sensor 427 and thevibration sensor 428 is sensed by the abnormality sensing means 413. Atthis time, when the temperature data signal value exceeds thetemperature threshold value, a temperature abnormality decision signalis output from an abnormality deciding portion 433 and also atemperature abnormality alarm is output from a decision resultoutputting portion 434.

Also, when the vibration data signal value exceeds the vibrationthreshold value, a vibration abnormality decision signal is output fromthe abnormality deciding portion 433 and also a vibration abnormalityalarm is output from the decision result outputting portion 434. Thealarm is transferred via cable or radio and then operated. At this time,as the temperature threshold value and the vibration threshold valuesaved in the threshold setting portion 432 and the temperature/vibrationabnormality decision signals output from the abnormality decidingportion 433, the root-mean-square value and the peak value in any timeperiod may be employed.

As shown in FIG. 47, in the second signal processing method in theabnormality sensing means 413, the vibration data signal generated bythe vibration sensor 428 is amplified, then only a predeterminedfrequency band is extracted from the vibration data signal by afiltering portion 435 to remove the unnecessary frequency band, and thenthe resultant signal is input into an envelope processing portion 436.The absolute-value detecting process of detecting the absolute value ofthe waveform is executed in the envelope processing portion 436, thenthe frequency analyzing process is executed in a frequency analyzingportion 437, and then the actually measured data are transferred to acomparing/collating portion 438.

Meanwhile, the calculated value data of the frequency components, whichare set as those generated due to the abnormality such as one-sidedwear, or the like of the bearing, the gear, and the wheel in atheoretical frequency calculating portion 440 based on rotation speedinformation 439, are transferred to the comparing/collating portion 438.Then, the actually measured data are compared/collated with thecalculated value data in the comparing/collating portion 438 to specifythe presence or absence of the vibration abnormality and the abnormallocation. Then, the presence or absence of the vibration abnormality andthe identified location are output from a result outputting portion 441.The information are transferred to the result outputting portion 441 viacable or radio.

In the second signal processing method, for example, the calculation ofthe frequency components and the comparison/collation can be easily madebased on the rotation speed information sensed from the electric motor,or the like and design specifications of the rotating elements parts.Also, various data processes and calculation are applied as theprocessing of the vibration data signal after the amplification. Forexample, such processing may be executed by the computer, the dedicatedmicrochip, or the like. In addition, the calculation process may beapplied to the sensed data signal after such signal is stored in thesaving means such as the memory, or the like.

Also, because it takes much time and labor to exchange the bearing insome machine, such machine cannot be immediately stopped. In this case,in some cases the exchange of the bearing is applied according to adegree of the damage. As the criterion in such case, theroot-mean-square value, the maximum value, and the peak factor of thevibration, for example, may be employed with respect to the previouslydecided reference values.

Also, as the abnormality diagnosis processing method on the basis of thevibration information in the comparing/collating portion 438 shown inFIG. 46, the above approaches (1) to (6) may be employed.

According to the bearing unit 410 in the thirteenth embodiment, sincethe sensors are molded with the resin in the loading range of thebearing housing 412, particularly in the recess portion 422 b formed onthe housing 422 of the bearing housing 412 that covers the outerperipheral surface of the outer ring 416, the temperature sensor 427 andthe vibration sensor 428 can be integrally formed in a single case 429.Thus, the vibration or temperature information accompanying the rotatingcondition of the rotating parts can be sensed at the same time bysensing at least one abnormality selected from the temperature sensor427 and the vibration sensor 428 by means of the abnormality sensingmeans 413. As a result, the defect of a plurality of parts can beinspected simultaneously still in the actual operating state withoutoverhaul of the system into which the rotating parts are incorporated.

In other words, the abnormality sensing means may be provided in theloading range of the bearing housing. Also, it is preferable that theabnormality sensing means should be secured onto the flat portionprovided to a part of the outer peripheral surface of the bearinghousing on the loading range side. Like the present embodiment, when theabnormality sensing means is embedded/fixed in the recess portion formedon the bearing housing, preferably such means should be fitted to mold aclearance between the abnormality sensing means and the recess portion.Also, the abnormality sensing means may be arranged on the outerdiameter portion of the bearing housing in the loading range and in thecenter portion of the bearing width.

In addition, in the present embodiment, the case of the abnormalitysensing means has a signal carrying means for sending out the sensedsignal, and a decision result outputting portion for deciding/outputtingthe presence or absence of the abnormality based on the signal sent outvia the signal carrying means.

Further, the inspection executed based on the vibration information isattained by providing the filtering processing portion for removing theunnecessary frequency band from the vibration waveform from thevibration sensor, the envelope processing portion for detecting theabsolute value of the filtered waveform transferred from the filteringprocessing portion, the frequency analyzing portion for analyzing thefrequency of the waveform transferred from the envelope processingportion, the comparing/collating portion for comparing the frequencygenerated due to the damage calculated based on the rotation speed withthe frequency derived based on the actually measured data, and theresult outputting portion for identifying the presence or absence of theabnormality and the abnormal location based on the compared result inthe comparing/collating portion.

Therefore, the abnormal decision can be made still in the normal stateof use without overhaul of the bearing unit 410. As a result, afrequency of the overhauling/assembling operations that require a lot oftime and labor can be reduced and thus the maintenance/administrativecosts can be reduced largely. Also, the variation of the decision due toa degree of expertise or the individual differences of the person incharge of inspection is in no way generated rather than the visualinspection in the prior art, and thus the reliability of the abnormalitydiagnosis can be improved dramatically.

Fourteenth Embodiment

Next, a bearing unit according to a fourteenth embodiment of the presentinvention will be explained with reference to FIG. 48 hereunder. In thisevent, the same reference symbols are affixed to the portions similar tothose in the thirteenth embodiment, and thus their redundantexplanations will be omitted or simplified hereunder.

As shown in FIG. 48, in a bearing unit 450 in the present embodiment,the abnormality sensing means 413 constructed by molding integrally thetemperature sensor 427 and the vibration sensor 428 in the case 429 isfixed to the recess portion 422 b formed on the outer peripheral surfaceof the housing 422 via a spacer 451.

The spacer 451 is made of a metal that has the temperaturecharacteristic and the natural vibration characteristic equivalent tothe housing 422. The spacer 451 is fixed by tightening screws 453, 453,which are inserted into a flange 452 arranged on the outer peripheralportion of the housing 422, into the housing 422.

In this case, the abnormality sensing means 413 as well as the spacer451 can be detachably attached to the housing 422. Therefore, when thetemperature sensor 427 and the vibration sensor 428 are to be exchanged,the exchanging operation can be executed only by taking out the screws453, 453 not to consume much time. In the bearing unit 450 in thefourteenth embodiment, the same signal processing as that in the firstembodiment is applied.

Fifteenth Embodiment

Next, a bearing unit according to a fifteenth embodiment of the presentinvention will be explained with reference to FIG. 49 hereunder. In thiscase, the same reference symbols are affixed to the portions similar tothose in the thirteenth embodiment, and thus their redundantexplanations will be omitted or simplified hereunder.

As shown in FIG. 49, in a bearing unit 460 of the present embodiment, apair of recess portions 422 d, 422 d into which the abnormality sensingmeans is installed are formed on the outer peripheral surface of thehousing 422 in the position that corresponds to the center portion inthe width area of the inner ring raceway surfaces 415, 415 of the doublerow tapered roller bearing 411. First and second abnormality sensingmeans 461, 462 in which the temperature sensor 427 and the vibrationsensor 428 are molded integrally in the case 429 are molded in therecess portions 422 d, 422 d with the resin.

The recess portions 422 d, 422 d are also arranged corresponding to thecenter portion in the width area of the outer ring raceway surfaces 417,417.

In this case, the first and second abnormality sensing means 461, 462are arranged in close vicinity to the position in which the taperedrollers 418 come into contact with the inner and outer ring racewaysurfaces 415, 415, 417, 417 while rolling down. Therefore, the sensingsensitivity can be improved further, and a time required until theabnormal signal is generated when the abnormality occurs can beshortened. In the bearing unit 460 of the fifteenth embodiment, the samesignal processing as that in the first embodiment is applied.

Also, the abnormality sensing means in which the temperature sensor andthe vibration sensor are molded integrally may be fitted directly to theouter peripheral surface of the housing in the loading range. In suchcase, the abnormality sensing means should be fitted to the flat portionthat is formed on a part of the outer peripheral surface of the housing.Then, the signal processing should be applied in the similar manner torespective embodiments. Also, like the present embodiment, theabnormality sensing means may be arranged on the outer diameter portionof the bearing housing in the loading range and in the width area of theinner ring raceway surfaces or the outer ring raceway surfaces.

Also, as the bearing used in the bearing unit, a combination of thecylindrical roller bearing and the single row radial ball bearing, orthe cylindrical roller bearing or the tapered roller bearing or theself-aligning roller bearing may be applied.

Here, the machinery facility condition monitoring method and system andthe abnormality diagnosis system according to the present invention arenot limited to the foregoing embodiments, and appropriate variations,improvements, etc. can be applied. Also, in the present invention,respective embodiments can be employed in combination in the practicablerange. Also, the machinery facility of the present invention includesthe railway vehicle, the machine tool, the windmill, the reduction gear,the electric motor, and others, and any facility may be employed if themachinery facility includes at least one of the rotating body and thesliding member. Also, the rotating body or the sliding member of thepresent invention includes the rolling bearing, the sliding bearing, theball screw, the linear guide, the linear ball bearing, other rotatingparts (gear, wheel itself), and others.

The present invention is explained in detail with reference toparticular embodiments, but it is apparent for the person skilled in theart that various variations and modifications can be applied withoutdeparting from a spirit and a scope of the present invention.

This application is filed based on

-   -   Japanese Patent Application (Patent Application No. 2002-252877)        filed on Aug. 30, 2002,    -   Japanese Patent Application (Patent Application No. 2002-338423)        filed on Nov. 21, 2002,    -   Japanese Patent Application (Patent Application No. 2002-370800)        filed on Dec. 20, 2002,    -   Japanese Patent Application (Patent Application No. 2003-010131)        filed on Jan. 17, 2003,    -   Japanese Patent Application (Patent Application No. 2003-048309)        filed on Feb. 25, 2003,    -   Japanese Patent Application (Patent Application No. 2003-182996)        filed on Jul. 26, 2003,    -   Japanese Patent Application (Patent Application No. 2003-304700)        filed on Aug. 28, 2003,        and the contents thereof are incorporated by the reference        hereinto.

INDUSTRIAL APPLICABILITY

There is provided the high-precision machinery facility abnormalitydiagnosis system that is capable of deciding the presence or absence ofthe abnormality in the state of normal use without decomposition of thefacility like the machinery facility such as a railway vehicle facility,a machine tool, a windmill, or the like, which requires much time andlabor to decompose, and thus capable of reducing themaintenance/administrative costs and being hardly affected by the noise,and the like.

1. A machinery facility abnormality diagnosis system for sensing apresence or absence of an abnormality of a sliding member or a rotatingbody in a machinery facility, comprising: a sensor unit having one ofplural sensing elements for sensing a signal emitted from the machineryfacility; and a calculating/processing portion for executing acalculating process to decide the presence or absence of the abnormalityin the machinery facility based on an output of the sensing element;wherein the calculating/processing portion is composed of amicrocomputer.
 2. A machinery facility abnormality diagnosis systemaccording to claim 1, wherein the sensor unit is incorporated into thesliding member or the rotating body.
 3. A machinery facility abnormalitydiagnosis system according to claim 2, wherein the microcomputer isfitted to the sliding member or the rotating body or a mechanism partsthat supports the sliding member or the rotating body.
 4. A machineryfacility abnormality diagnosis system according to claim 1, wherein themicrocomputer and the sensor unit are mounted on a single device board,and are fitted to the sliding member or the rotating body or a mechanismparts that supports the sliding member or the rotating body as a singleprocessing unit.
 5. A machinery facility abnormality diagnosis systemaccording to claim 1, wherein the calculating/processing portion isinstalled in a single casing.
 6. A machinery facility abnormalitydiagnosis system according to claim 5, wherein the sensor unit isarranged integrally in the casing.
 7. A machinery facility abnormalitydiagnosis system according to claim 1, wherein the sensing elementsenses at least one of temperature, vibration displacement, vibrationspeed, vibration acceleration, force, distortion, acoustic, acousticemission, ultrasonic waves, and rotation speed.
 8. A machinery facilityabnormality diagnosis system according to claim 1, wherein thecalculating/processing portion includes central processing unit,amplifier, analog/digital converter, filter, comparator, pulse counter,timer, interruption controller, ROM, RRAM, digital/analog converter,communication module, and external interface.
 9. A machinery facilityabnormality diagnosis system according to claim 1, wherein thecalculating/processing portion executes at least one process or more ofcalculation of feature parameters of a standard deviation and a peakfactor, envelope detection, FFT, filtering, wavelet transform,short-time FFT, calculation of a feature frequency due to a defect ofthe rotating body and comparison/decision.
 10. A bearing unit includingan inner ring having an inner ring raceway surface, an outer ring havingan outer ring raceway surface, a plurality of rolling elements arrangedrelatively rotatably between the inner ring raceway surface and theouter ring raceway surface, and a retainer for holding rollably therolling elements, whereby a bearing to which a radial load is applied isarranged in a bearing housing, the bearing unit comprising: anabnormality sensing means provided in a loading range of the bearinghousing, for sensing an abnormality from at least one selected from avibration sensor and a temperature sensor installed/fixed in a singlecase.
 11. A bearing unit according to claim 10, wherein a flat portionis provided to a part of an outer peripheral surface of the bearinghousing on a loading range side, and the abnormality sensing means isfixed to the flat portion.
 12. A bearing unit according to claim 11,wherein the abnormality sensing means is arranged on an outer diameterportion of the bearing housing on the loading range side in a centerportion of a bearing width.
 13. A bearing unit according to claim 10,wherein the abnormality sensing means is arranged on an outer diameterportion of the bearing housing on the loading range side in a width areaof the inner ring raceway surface or the outer ring raceway surface. 14.A bearing unit according to claim 10, wherein a case of the abnormalitysensing means has a signal carrying means that sends out a sensedsignal, and a decision result outputting portion that decides a presenceor absence of the abnormality based on the signal sent out via thesignal carrying means and output a decision result.
 15. A bearing unitaccording to claim 10, wherein the abnormality sensing means isembedded/fixed on a recess portion formed on the bearing housing, andthen secured by molding a clearance between the abnormality sensingmeans and the recess portion.
 16. A bearing unit according to claim 15,wherein the abnormality sensing means is fixed to the recess portion viaa spacer.